bert-base-uncased-coqa safetensors download | Hugging Bay

Q: What is this model?

rooftopcoder/bert-base-uncased-coqa is an open-weights language model for question answering published by rooftopcoder, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for question answering: rooftopcoder/bert-base-uncased-coqa · transformers

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 872.2 MB. The recommended download, model.safetensors, is 435.6 MB.

Q: What can I download here?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 872.2 MB. The original release is at https://huggingface.co/rooftopcoder/bert-base-uncased-coqa.

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-rooftopcoder-bert-base-uncased-coqa/safety on Hugging Bay.

Q: Will rooftopcoder/bert-base-uncased-coqa 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.

rooftopcoder

bert-base-uncased-coqa

rooftopcoder/bert-base-uncased-coqa

Model details

question answeringLicense: apache-2.0SHA-256 recorded for 15 of 19 filessafetensors · BIN

Content controls: not assessed.

Listed for answering questions; for developers building question answering tools. 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-rooftopcoder-bert-base-uncased-coqa/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 19 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors436 MB · 1 file Download · 436 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

Not run yet

bert-base-uncased-coqa

Machine-readable artifact endpoints

Cookies