Hugging Face
AI models, AI datasets and AI demo apps
Hugging Face returns public model, dataset, and demo search results, model details, or weekly trending models; unpublished information may be missing, and demo availability can change.
Your information
Model name, repository name, or Hugging Face model link, for example Llama 3.1 8B Instruct or meta-llama/Llama-3.1-8B-Instruct.
Example results
- Task
- Fill mask
- Gated
- No
- Likes
- 3,381
- Author
- google-bert
- License
- Apache 2.0
- Base Model
- Not provided
- Model Name
- bert-base-uncased
- Matched Model
- bert-base-uncased by google-bert
- Repository ID
- google-bert/bert-base-uncased
- Model Page Link
- huggingface.co
- Parameter Count
- 110,106,428
- Last Updated Date
- 2024-02-19
- Model Card Summary
- Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in this paper and first released in this repository. This model is uncased: it does not make a difference between english and English.
- Downloads Last 30 Days
- 41,713,428
- Files
Files Name Size Bytes .gitattributes491LICENSE11,356README.md10,517config.json570coreml/fill-mask/float32_model.mlpackage/Data/com.apple.CoreML/model.mlmodel164,911coreml/fill-mask/float32_model.mlpackage/Data/com.apple.CoreML/weights/weight.bin531,833,856coreml/fill-mask/float32_model.mlpackage/Manifest.json617flax_model.msgpack438,064,459model.onnx532,091,246model.safetensors440,449,768pytorch_model.bin440,473,133rust_model.ot534,240,408tf_model.h5536,063,208tokenizer.json466,062tokenizer_config.json48vocab.txt231,508- Languages
- Datasets Used
About Hugging Face
Hugging Face, also called HF Hub, finds public models by search words, optional task, and sort order, or lists models trending this week.
Search datasets by name or topic and choose a result order; results include publisher-provided details such as tasks, languages, and file size.
Find public Spaces demos by describing what an app should do and choosing a result order, or get public model details using a model name or link.
Built by Fous from huggingface.co and checked automatically; it last passed a check on Sep 29, 2026. Fous is not affiliated with Hugging Face.
Actions
Get model
1 credit per runGet public details, model card summary, and file sizes for one Hugging Face model from its name or link. For a name, the first matching model is returned; unavailable card details are null.
What you provide
| Field | Type | Required | Description |
|---|---|---|---|
Modelmodel | Text | Required | Model name, repository name, or Hugging Face model link, for example Llama 3.1 8B Instruct or meta-llama/Llama-3.1-8B-Instruct.Example: https://huggingface.co/google-bert/bert-base-uncased |
What you get
| Field | Type | Description |
|---|---|---|
Tasktask | Text | Example: Fill mask |
Filesfiles | List | |
Namefiles[].name | Text | Example: .gitattributes |
Size Bytesfiles[].size_bytes | Number | Example: 491 |
Gatedgated | Yes or no | Whether access to model files requires approval or acceptance.Example: No |
Likeslikes | Number | Example: 3381 |
Authorauthor | Text | Example: Google bert |
Licenselicense | Text | Example: Apache 2.0 |
Languageslanguages | List | |
Base Modelbase_model | Text | Example: meta-llama/Meta-Llama-3.1-8B |
Model Namemodel_name | Text | Name of the matched model.Example: Bert base uncased |
Datasets Useddatasets_used | List | |
Matched Modelmatched_model | Text | The matched model name and publisher, particularly useful for searches by name.Example: bert-base-uncased by google-bert |
Repository IDrepository_id | Text | Hugging Face repository ID.Example: google-bert/bert-base-uncased |
Model Page Linkmodel_page_link | Text | Example: https://huggingface.co/google-bert/bert-base-uncased |
Parameter Countparameter_count | Number | Example: 110106428 |
Last Updated Datelast_updated_date | Text | Example: 2024-02-19 |
Model Card Summarymodel_card_summary | Text | Example: Pretrained model on English language using a masked language modeling (MLM)… |
Downloads Last 30 Daysdownloads_last_30_days | Number | Example: 41713428 |
Example result
For Model: https://huggingface.co/google-bert/bert-base-uncased
{
"task": "Fill mask",
"files": [
{
"name": ".gitattributes",
"size_bytes": 491
},
{
"name": "LICENSE",
"size_bytes": 11356
},
{
"name": "README.md",
"size_bytes": 10517
}
],
"gated": false,
"likes": 3381,
"author": "google-bert",
"license": "Apache 2.0",
"languages": [
"en"
],
"base_model": null,
"model_name": "bert-base-uncased",
"datasets_used": [
"bookcorpus",
"wikipedia"
],
"matched_model": "bert-base-uncased by google-bert",
"repository_id": "google-bert/bert-base-uncased",
"model_page_link": "https://huggingface.co/google-bert/bert-base-uncased",
"parameter_count": 110106428,
"last_updated_date": "2024-02-19",
"model_card_summary": "Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in this paper and first released in this repository. This model is uncased: it does not make a …",
"downloads_last_30_days": 41713428
}List trending models
1 credit per runList Hugging Face models trending this week in trending order, optionally for a task. Downloads reflect the last 30 days; some models have no listed task.
What you provide
| Field | Type | Required | Description |
|---|---|---|---|
Tasktask | Text | Optional | Task in plain words, such as text generation, speech recognition, or image classification. Leave blank for all tasks.Example: speech recognition |
Max Resultsmax_results | Number | Optional | Maximum number of trending models to return, such as 20 (up to 100).Example: 5 |
What you get
| Field | Type | Description |
|---|---|---|
Modelsmodels | List | Models ordered by trending rank. |
Rankmodels[].rank | Number | Position in the trending list.Example: 1 |
Taskmodels[].task | Text | Task in plain words, if listed.Example: text classification |
Likesmodels[].likes | Number | Number of likes.Example: 4302 |
Model Namemodels[].model_name | Text | Model name.Example: Laya |
Repository IDmodels[].repository_id | Text | Full repository name in author/name format.Example: convaiinnovations/laya |
Trending Scoremodels[].trending_score | Number | Hugging Face trending score.Example: 2359 |
Model Page Linkmodels[].model_page_link | Link | Model page link.Example: https://huggingface.co/convaiinnovations/laya |
Last Updated Datemodels[].last_updated_date | Date | Last updated date.Example: 2026-09-24 |
Author or Organizationmodels[].author_or_organization | Text | Publishing author or organization.Example: Convaiinnovations |
Downloads Last 30 Daysmodels[].downloads_last_30_days | Number | Downloads in the last 30 days.Example: 0 |
Example result
For
{
"models": [
{
"rank": 1,
"task": "text classification",
"likes": 4302,
"model_name": "laya",
"repository_id": "convaiinnovations/laya",
"trending_score": 2359,
"model_page_link": "https://huggingface.co/convaiinnovations/laya",
"last_updated_date": "2026-09-24",
"author_or_organization": "convaiinnovations",
"downloads_last_30_days": 0
},
{
"rank": 2,
"task": "text to image",
"likes": 2264,
"model_name": "Qwen-Image-2.1-Uncensored-GGUF",
"repository_id": "abenzerps/Qwen-Image-2.1-Uncensored-GGUF",
"trending_score": 1366,
"model_page_link": "https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF",
"last_updated_date": "2026-09-28",
"author_or_organization": "abenzerps",
"downloads_last_30_days": 1062921
},
{
"rank": 3,
"task": "automatic speech recognition",
"likes": 1407,
"model_name": "Audio8-ASR-Infinite",
"repository_id": "Edge0/Audio8-ASR-Infinite",
"trending_score": 1245,
"model_page_link": "https://huggingface.co/Edge0/Audio8-ASR-Infinite",
"last_updated_date": "2026-09-24",
"author_or_organization": "Edge0",
"downloads_last_30_days": 19963
}
]
}Search datasets
1 credit per runFind public Hugging Face datasets by name or topic, ordered by popularity, trending score, or update date. Rows, tasks, languages, license and file size are null when the publisher does not provide them.
What you provide
| Field | Type | Required | Description |
|---|---|---|---|
Sortsort | Text | Optional | Result order, for example most_downloaded.Example: Most liked |
Queryquery | Text | Required | Topic or dataset name, for example medical questions.Example: Squad |
Max Resultsmax_results | Number | Optional | Maximum number of datasets, for example 20.Example: 3 |
What you get
| Field | Type | Description |
|---|---|---|
Datasetsdatasets | List | |
Rowsdatasets[].rows | Number | Number of rows when published.Example: 98169 |
Sizedatasets[].size | Text | Total file size displayed in decimal units, such as 16.3 MB.Example: 16.3 MB |
Likesdatasets[].likes | Number | Number of likes.Example: 1117 |
Tasksdatasets[].tasks | List | Tasks in plain words. |
Authordatasets[].author | Text | Dataset author or organization.Example: Rajpurkar |
Licensedatasets[].license | Text | Publisher-provided license.Example: cc-by-sa-4.0 |
Languagesdatasets[].languages | List | Languages in words when provided. |
Page Linkdatasets[].page_link | Link | Dataset page link.Example: https://huggingface.co/datasets/rajpurkar/squad |
Dataset Namedatasets[].dataset_name | Text | Name displayed by the dataset publisher.Example: SQuAD |
Last Updateddatasets[].last_updated | Date | Last update date.Example: 2024-03-04 |
Repository IDdatasets[].repository_id | Text | Author and repository name.Example: rajpurkar/squad |
Downloads Last 30 Daysdatasets[].downloads_last_30_days | Number | Downloads during the last month.Example: 260507 |
Example result
For Query: Squad
{
"datasets": [
{
"rows": 98169,
"size": "16.3 MB",
"likes": 1117,
"tasks": [
"Question answering"
],
"author": "rajpurkar",
"license": "cc-by-sa-4.0",
"languages": [
"English"
],
"page_link": "https://huggingface.co/datasets/rajpurkar/squad",
"dataset_name": "SQuAD",
"last_updated": "2024-03-04",
"repository_id": "rajpurkar/squad",
"downloads_last_30_days": 260507
},
{
"rows": 142192,
"size": "17.7 MB",
"likes": 263,
"tasks": [
"Question answering"
],
"author": "rajpurkar",
"license": "cc-by-sa-4.0",
"languages": [
"English"
],
"page_link": "https://huggingface.co/datasets/rajpurkar/squad_v2",
"dataset_name": "SQuAD2.0",
"last_updated": "2024-03-04",
"repository_id": "rajpurkar/squad_v2",
"downloads_last_30_days": 81226
},
{
"rows": null,
"size": "7.5 GB",
"likes": 0,
"tasks": null,
"author": "research-backup",
"license": null,
"languages": null,
"page_link": "https://huggingface.co/datasets/research-backup/qa_squadshifts_synthetic_random",
"dataset_name": "qa_squadshifts_synthetic_random",
"last_updated": "2023-01-15",
"repository_id": "research-backup/qa_squadshifts_synthetic_random",
"downloads_last_30_days": 17240
}
]
}Search models
1 credit per runFind public Hugging Face models by search words, with an optional task and sort order. License is null when the model does not publish one.
What you provide
| Field | Type | Required | Description |
|---|---|---|---|
Sortsort | Text | Optional | Order of results; for example "trending". Defaults to most_downloaded.Example: Trending |
Tasktask | Text | Optional | Task in plain words, such as "text generation", "image classification", or "sentiment analysis". Defaults to all tasks.Example: text generation |
Queryquery | Text | Required | Search words for model names, such as "whisper" or "sentiment analysis".Example: Whisper |
Max Resultsmax_results | Number | Optional | Maximum models to return, for example 20; at most 100.Example: 20 |
What you get
| Field | Type | Description |
|---|---|---|
Modelsmodels | List | Matching models in the requested order. |
Taskmodels[].task | Text | Model task in words.Example: Automatic Speech Recognition |
Likesmodels[].likes | Number | Total likes.Example: 233 |
Authormodels[].author | Text | Publisher or organization.Example: Argmaxinc |
Licensemodels[].license | Text | License as stated by the model publisher.Example: Mit |
Model Namemodels[].model_name | Text | Model repository name.Example: Whisperkit coreml |
Repository IDmodels[].repository_id | Text | Repository ID (author/name).Example: argmaxinc/whisperkit-coreml |
Model Page Linkmodels[].model_page_link | Link | Hugging Face model page.Example: https://huggingface.co/argmaxinc/whisperkit-coreml |
Last Updated Datemodels[].last_updated_date | Date | Most recent update date.Example: 2026-08-19 |
Downloads Last 30 Daysmodels[].downloads_last_30_days | Number | Downloads over the last 30 days.Example: 10863294 |
Example result
For Query: Whisper
{
"models": [
{
"task": "Automatic Speech Recognition",
"likes": 233,
"author": "argmaxinc",
"license": "mit",
"model_name": "whisperkit-coreml",
"repository_id": "argmaxinc/whisperkit-coreml",
"model_page_link": "https://huggingface.co/argmaxinc/whisperkit-coreml",
"last_updated_date": "2026-08-19",
"downloads_last_30_days": 10863294
},
{
"task": "Automatic Speech Recognition",
"likes": 3403,
"author": "openai",
"license": "mit",
"model_name": "whisper-large-v3-turbo",
"repository_id": "openai/whisper-large-v3-turbo",
"model_page_link": "https://huggingface.co/openai/whisper-large-v3-turbo",
"last_updated_date": "2024-10-04",
"downloads_last_30_days": 6369929
},
{
"task": "Automatic Speech Recognition",
"likes": 6448,
"author": "openai",
"license": "apache-2.0",
"model_name": "whisper-large-v3",
"repository_id": "openai/whisper-large-v3",
"model_page_link": "https://huggingface.co/openai/whisper-large-v3",
"last_updated_date": "2024-08-12",
"downloads_last_30_days": 4370479
}
]
}Search spaces
1 credit per runFind public Hugging Face Spaces demos for a task, with descriptions, likes, running status, and update dates. Availability and running status can change.
What you provide
| Field | Type | Required | Description |
|---|---|---|---|
Sortsort | Text | Optional | Order results by relevance, most_liked, or trending. For example, most_liked.Example: Most liked |
Queryquery | Text | Required | What the app should do, for example, remove image background.Example: remove image background |
Max Resultsmax_results | Number | Optional | Maximum number of Spaces to return, for example, 20.Example: 5 |
What you get
| Field | Type | Description |
|---|---|---|
Spacesspaces | List | Matching public demo apps. |
Likesspaces[].likes | Number | Number of likes.Example: 2956 |
Authorspaces[].author | Text | Name of the publisher.Example: Not lain |
App Linkspaces[].app_link | Link | Link to the app page.Example: https://huggingface.co/spaces/not-lain/background-removal |
App Namespaces[].app_name | Text | Name of the demo app.Example: Background Removal |
Hardwarespaces[].hardware | Text | Current hardware when running, otherwise requested hardware, if available.Example: ZERO A10G |
Running Nowspaces[].running_now | Yes or no | Whether the app is currently running.Example: Yes |
Last Updatedspaces[].last_updated | Date | Date the Space was last updated, if available.Example: 2026-04-20 |
App Frameworkspaces[].app_framework | Text | Framework for the Space, if available.Example: Gradio |
Short Descriptionspaces[].short_description | Text | Short description of the app, if available.Example: Remove backgrounds from images instantly |
Space Repository IDspaces[].space_repository_id | Text | Space repository ID in author/name form.Example: not-lain/background-removal |
Example result
For Query: remove image background
{
"spaces": [
{
"likes": 2956,
"author": "not-lain",
"app_link": "https://huggingface.co/spaces/not-lain/background-removal",
"app_name": "Background Removal",
"hardware": "ZERO A10G",
"running_now": true,
"last_updated": "2026-04-20",
"app_framework": "Gradio",
"short_description": "Remove backgrounds from images instantly",
"space_repository_id": "not-lain/background-removal"
},
{
"likes": 891,
"author": "briaai",
"app_link": "https://huggingface.co/spaces/briaai/BRIA-RMBG-1.4",
"app_name": "BRIA RMBG 1.4",
"hardware": "CPU BASIC",
"running_now": true,
"last_updated": "2025-01-07",
"app_framework": "Gradio",
"short_description": "Remove backgrounds from images instantly",
"space_repository_id": "briaai/BRIA-RMBG-1.4"
},
{
"likes": 878,
"author": "prithivMLmods",
"app_link": "https://huggingface.co/spaces/prithivMLmods/Qwen-Image-Edit-2509-LoRAs-Fast",
"app_name": "Qwen-Image-Edit-2509-LoRAs-Fast",
"hardware": "ZERO A10G",
"running_now": true,
"last_updated": "2026-08-08",
"app_framework": "Gradio",
"short_description": "Demo of the Collection of Qwen Image Edit LoRAs",
"space_repository_id": "prithivMLmods/Qwen-Image-Edit-2509-LoRAs-Fast"
}
]
}For developers
Run this workflow from your own code. In Studio, turn on Developer mode and create an API key.
# First set your key: export FOUS_API_KEY='YOUR_FOUS_API_KEY'
: "${FOUS_API_KEY:?Set FOUS_API_KEY before running this example}"
curl 'https://api.fous.com/v1/query' \
--fail-with-body --silent --show-error --max-time 120 \
-H "Authorization: Bearer $FOUS_API_KEY" \
-H 'Content-Type: application/json' \
--data-raw '{
"api": "@hugging-face",
"visibility": "public",
"operation": "get_model",
"version": 1,
"input": {
"model": "https://huggingface.co/google-bert/bert-base-uncased"
},
"response": {
"format": "json"
}
}'What you can do with it
- Compare public models by task, likes, and recent downloads
- Review a model’s publisher, license, files, and model card summary
- Find datasets for a topic and compare their published details
- Track models trending this week by task
- Discover demo apps for a specific task
Questions
Is Fous affiliated with Hugging Face?
No. Fous is not affiliated with Hugging Face. This workflow reads the public huggingface.co website and returns its data.
How much does it cost?
Each run costs 1 credit. With pay-as-you-go, a credit costs 1¢; monthly plans cost less per credit.
Do I need a Hugging Face account?
No. You only need a Fous account.
How current is the data?
Fous gets the data from huggingface.co when you run it; repeating the same request within a day may return the saved result. Fous checks this workflow automatically; it last passed a check on Sep 29, 2026.
Which public models match a search or task?
Use Search models with required search words and an optional task and sort order.
What details are available for a model?
Get model returns public details, a model card summary, and file sizes for a model name or link.
Which models are trending this week?
List trending models returns models in trending order, optionally filtered by task.