bert-base-cased-PubmedQAmodel download | Hugging Bay

Q: What is this model?

pythonist/bert-base-cased-PubmedQAmodel is an open-weights language model for question answering published by pythonist, added to Hugging Bay Sep 25, 2026. Model from Hugging Face for question answering: pythonist/bert-base-cased-PubmedQAmodel · 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: 862.8 MB. The recommended download, model.safetensors, is 430.9 MB.

Q: What can I download here?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 862.8 MB. The original release is at https://huggingface.co/pythonist/bert-base-cased-PubmedQAmodel.

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-pythonist-bert-base-cased-pubmedqamodel/safety on Hugging Bay.

Q: Will pythonist/bert-base-cased-PubmedQAmodel 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.

pythonist

bert-base-cased-PubmedQAmodel

pythonist/bert-base-cased-PubmedQAmodel

Model details

question answeringLicense: apache-2.0SHA-256 recorded for 17 of 21 filessafetensors · BIN

Content controls: not assessed.

Listed for answering questions; for developers building question answering tools. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

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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-pythonist-bert-base-cased-pubmedqamodel/model.safetensors",
    "model.safetensors",
)

Other ways

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5 hosted of 21 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors431 MB · 1 file Download · 431 MB (1 file)

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Check your download →

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

5 hosted of 21 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`model.safetensors` Default	430.9 MB	`e7bf6efa…574c8b36` `e7bf6efa1d01ba742f5815995d45186a56b5423bd8145e01d519d52d574c8b36`	Hosted	Herunterladen
`pytorch_model.bin`	431 MB	`30505bb5…15b45be0` `30505bb52a31ba57a1b1a27e1a91a7cd414b32a1a24f15147712f5fa15b45be0`	Upstream only	File metadata
`training_args.bin`	3.58 KB	`589390cb…b2ca8a0f` `589390cb0e2545a352477615cfa15b1072b44550387d255c544c775bb2ca8a0f`	Upstream only	File metadata
Tokenizer & config
`.gitignore`	13 bytes	—	Upstream only	File metadata
`config.json`	671 bytes	`02ca67b5…7a78682b` `02ca67b573b1db92fce199ee3fbdd9d028b15f2f2b84ecf6ea9153b67a78682b`	Hosted	Herunterladen
`runs/Apr25_10-34-26_89e343b37bc2/1682418914.1173441/events.out.tfevents.1682418914.89e343b37bc2.625.1`	5.91 KB	`96537988…4ba2ee44` `96537988f24db34fbe67d0cdce034f26a163f8bd94ffb8cea1cd3dfd4ba2ee44`	Upstream only	File metadata
`runs/Apr25_10-34-26_89e343b37bc2/events.out.tfevents.1682418914.89e343b37bc2.625.0`	4.29 KB	`ff19447a…20afc4f9` `ff19447a3aabe51f909279a5063eab88b8e83b3f95f35924cb6ee21a20afc4f9`	Upstream only	File metadata
`runs/Apr25_10-35-45_89e343b37bc2/1682418959.2295318/events.out.tfevents.1682418959.89e343b37bc2.625.3`	5.91 KB	`cf23d3a8…e55cba29` `cf23d3a8b787e4dace746138a45f8aaa243c5a992638e1a76d629606e55cba29`	Upstream only	File metadata
`runs/Apr25_10-35-45_89e343b37bc2/1682419097.9063/events.out.tfevents.1682419097.89e343b37bc2.625.5`	5.91 KB	`34d4fbd2…3eba97ed` `34d4fbd2d383c379a11efe9198923bae3e0977c82dfbd6ebc9ddbb7a3eba97ed`	Upstream only	File metadata
`runs/Apr25_10-35-45_89e343b37bc2/events.out.tfevents.1682418959.89e343b37bc2.625.2`	5.7 KB	`06337843…c4d95bb0` `06337843239eb7c583631aa5b7d065a6bbeeb6f5b9e87fb0d750315bc4d95bb0`	Upstream only	File metadata
`runs/Apr25_10-35-45_89e343b37bc2/events.out.tfevents.1682419097.89e343b37bc2.625.4`	5.7 KB	`47858435…e4db8adf` `478584351a81b766db644f5aa47c683df40a40d8cf0abf6ed65ed813e4db8adf`	Upstream only	File metadata
`runs/Apr26_01-03-25_4ff1de80f930/1682471117.229005/events.out.tfevents.1682471117.4ff1de80f930.271.1`	5.91 KB	`fcc1cc12…dbe6c98d` `fcc1cc125f0fae88eac51b12048bcf3a18ef310e7a7f42e856436714dbe6c98d`	Upstream only	File metadata
`runs/Apr26_01-03-25_4ff1de80f930/events.out.tfevents.1682471117.4ff1de80f930.271.0`	9.77 KB	`2527dc77…d27b7b8b` `2527dc77ccc3d1a1e816dbc916e4c2206b41d27922be04e55cb95839d27b7b8b`	Upstream only	File metadata
`runs/Apr26_07-12-47_0a9c0bd3f89b/1682493284.7411394/events.out.tfevents.1682493284.0a9c0bd3f89b.1028.1`	5.91 KB	`19736b47…e7c5fa6e` `19736b47279f94d109e8429156acc35f606167026b567dd479644c90e7c5fa6e`	Upstream only	File metadata
`runs/Apr26_07-12-47_0a9c0bd3f89b/events.out.tfevents.1682493284.0a9c0bd3f89b.1028.0`	6.51 KB	`f56430cb…22429045` `f56430cb1877fbbabaef0aea67154e446d5f1b4895c69e4c5a401bf722429045`	Upstream only	File metadata
`tokenizer.json`	669.2 KB	`bc4a0022…940e6d25` `bc4a0022b278fc7a01219a9cc4372e5cfc3f36edc9d66db413446e25940e6d25`	Hosted	Herunterladen
`tokenizer_config.json`	315 bytes	`a4b08fb5…7d945c2b` `a4b08fb5ad902e90782fd47df204b6c21811944c52d65914237ab00f7d945c2b`	Hosted	Herunterladen
`vocab.txt`	213.4 KB	—	Upstream only	File metadata
`special_tokens_map.json`	125 bytes	`b6d346be…76237ee3` `b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3`	Hosted	Herunterladen
Docs
`.gitattributes`	1.48 KB	—	Upstream only	File metadata
`README.md`	1.63 KB	—	Upstream only	File metadata

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bert-base-cased-PubmedQAmodel

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