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