t5-base-summarization-claim-extractor download | Hugging Bay

Q: What is this model?

Babelscape/t5-base-summarization-claim-extractor is an open-weights language model for general published by Babelscape, added to Hugging Bay Sep 21, 2026. Model from Hugging Face for llm: Babelscape/t5-base-summarization-claim-extractor · transformers

Q: Can I use it commercially?

It is released under the cc-by-nc-sa-4.0 license. Commercial use is not allowed. cc-by-nc-sa-4.0: commercial use is not permitted; non-commercial adaptations require attribution and share-alike.

Q: How big is it?

Hosted here: at least 7 listed files; full count and size unknown. Full repo upstream: 892.5 MB. The recommended download, model.safetensors, is 891.6 MB.

Q: What can I download here?

Hosted here: at least 7 listed files; full count and size unknown. Full repo upstream: 892.5 MB. The original release is at https://huggingface.co/Babelscape/t5-base-summarization-claim-extractor.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 7 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-babelscape-t5-base-summarization-claim-extractor/safety on Hugging Bay.

Q: Will Babelscape/t5-base-summarization-claim-extractor run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

Babelscape

t5-base-summarization-claim-extractor

Babelscape/t5-base-summarization-claim-extractor

Model details

generalLicense: cc-by-nc-sa-4.0SHA-256 recorded for 7 of 9 filessafetensors

Content controls: not assessed.

Listed for transforming text; for developers building text processing tools. Catalog sources: license, tags.

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Your next step

Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-babelscape-t5-base-summarization-claim-extractor/model.safetensors",
    "model.safetensors",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerApp links support one GGUF file.

7 hosted of 9 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors892 MB · 1 file Download · 892 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

Compare your file’s SHA-256 with the recorded hash.

Machine-readable artifact endpoints

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t5-base-summarization-claim-extractor

Machine-readable artifact endpoints

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