RoBERTaCrawlPT-base safetensors download | Hugging Bay

Q: What is this model?

eduagarcia/RoBERTaCrawlPT-base is an open-weights language model for masked-language modeling published by eduagarcia, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for fill mask: eduagarcia/RoBERTaCrawlPT-base · transformers

Q: Can I use it commercially?

It is released under the cc-by-4.0 license. Commercial use is allowed. cc-by-4.0: commercial use, modification, and redistribution are permitted with attribution.

Q: How big is it?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 502.4 MB. The recommended download, model.safetensors, is 498.8 MB.

Q: What can I download here?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 502.4 MB. The original release is at https://huggingface.co/eduagarcia/RoBERTaCrawlPT-base.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 5 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-eduagarcia-robertacrawlpt-base/safety on Hugging Bay.

Q: Will eduagarcia/RoBERTaCrawlPT-base 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.

eduagarcia

RoBERTaCrawlPT-base

eduagarcia/RoBERTaCrawlPT-base

Model details

masked-language modelingLicense: cc-by-4.0SHA-256 recorded for 5 of 9 filessafetensors

Content controls: not assessed.

Listed for predicting masked text; for developers working with masked language models. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

View as JSON →

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-eduagarcia-robertacrawlpt-base/model.safetensors",
    "model.safetensors",
)

Other ways

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

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

Selected downloadmodel.safetensors499 MB · 1 file Download · 499 MB (1 file)

Open-file help

Content controls: not assessed.

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