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Build a text-generation model shortlist from Hugging Face

Collect public model records for text-generation candidates from Hugging Face with task and library filters for evaluation or benchmarking.

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Hugging Face Scraper — Models, Datasets & Spaces
Hugging Face Scraper — Models, Datasets & Spaceskhadinakbar/huggingface-all-in-one-scraper
Item type
Id
Author
Downloads
+7 fields
Text
Number
Boolean
List
Object

Input

Hugging Face URLs or text queries(required):qwen 3 instruct
Entity type for text queries:models
Filter by task / pipeline tag:text-generation
Filter by library:transformers
Max results per target:25
Sort search results:downloads
Include full README text:false
Response shape for AI agents:concise

Output fields

Item type
Id
Author
Downloads
Likes
Pipeline tag
Library name
License
Last modified
Tags
Url

How it works

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The Hugging Face Scraper — Models, Datasets & Spaces Actor is ready to run with the inputs already set for "Build a text-generation model shortlist from Hugging Face". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a text-generation model shortlist from Hugging Face" task

The Hugging Face Scraper — Models, Datasets & Spaces Actor will start running based on the input automatically. You can also change all the input fields, like hugging face urls or text queries, entity type for text queries, and more, to match your specific use case.

Receive the "Build a text-generation model shortlist from Hugging Face" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as item type, id, author, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Build a text-generation model shortlist from Hugging Face" task via API.

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