bert-base-NER safetensors download (433 MB) | Hugging Bay

Q: What is this model?

dslim/bert-base-NER is an open-weights language model for token classification published by dslim, added to Hugging Bay Jun 29, 2026. Model from Hugging Face: dslim/bert-base-NER

Q: Can I use it commercially?

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

Q: How big is it?

Hosted here: at least 16 listed files; full count and size unknown. Full repo upstream: 2.16 GB. The recommended download, model.safetensors, is 433.3 MB.

Q: What can I download here?

Hosted here: at least 16 listed files; full count and size unknown. Full repo upstream: 2.16 GB. The original release is at https://huggingface.co/dslim/bert-base-NER.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 16 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-dslim-bert-base-ner/safety on Hugging Bay.

Q: Will dslim/bert-base-NER 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.

dslim

bert-base-NER

dslim/bert-base-NER

Model details

token classificationLicense: mitHashes recordedsafetensors · ONNX · BIN · H5

Content controls: not assessed.

Listed for labeling parts of text; for developers building token classifiers. Catalog sources: license, task.

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-dslim-bert-base-ner/model.safetensors",
    "model.safetensors",
)

Other ways

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

16 hosted of 18 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors433 MB · 1 file Download · 433 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

16 hosted of 18 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`model.safetensors` Default	433.3 MB	`b0449218…fa702a34` `b04492186cfb45a64908487a17a9f8d6ddec3a403ef39db5bca688f0fa702a34`	Hosted	Baixar
`onnx/model.onnx`	431.2 MB	`963039b8…ae384617` `963039b81eec5b33e23d84826ccdf1e8f8ada776f320e692113034cfae384617`	Hosted	Baixar
`pytorch_model.bin`	433.3 MB	`4c0b0179…298021f6` `4c0b01790e435da1337ea519d76e747427f2d3ee9c0e49b4952caa06298021f6`	Hosted	Baixar
Tokenizer & config
`added_tokens.json`	2 bytes	`44136fa3…1caaff8a` `44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a`	Hosted	Baixar
`config.json`	829 bytes	`a5dc77a0…3ae7e515` `a5dc77a0d60dadf5645103017f3c7b8ece4ef1b450bc1ea68e17da1d3ae7e515`	Hosted	Baixar
`flax_model.msgpack`	430.9 MB	`a124466e…666a2c1e` `a124466eab9adb43377d35d32afe77313fceeb16b74b106f3742884c666a2c1e`	Hosted	Baixar
`onnx/added_tokens.json`	82 bytes	`909e96cb…412588f2` `909e96cb32d92ce728a01bc99850cbba26196d74115c17ebeb019275412588f2`	Upstream only	File metadata
`onnx/special_tokens_map.json`	125 bytes	`b6d346be…76237ee3` `b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3`	Hosted	Baixar
`tf_model.h5`	433.5 MB	`ba8245e6…357a954b` `ba8245e6eefa4057300e93caef9d8360192914c271f15c8bd112283d357a954b`	Hosted	Baixar
`tokenizer_config.json`	59 bytes	`4c052d60…3ec558ba` `4c052d60b505817149a29e88c5292d7779ddecfadbfc6208729e61403ec558ba`	Hosted	Baixar
`vocab.txt`	213.4 KB	`eeaa9875…1df93d02` `eeaa9875b23b04b4c54ef759d03db9d1ba1554838f8fb26c5d96fa551df93d02`	Hosted	Baixar
`onnx/config.json`	999 bytes	`bdc92243…cc39bd6a` `bdc92243c070947117ec86391a257f5767a2bada249e57277269a5adcc39bd6a`	Hosted	Baixar
`onnx/tokenizer.json`	668.9 KB	`34398971…9f8d8ee1` `343989712a36cd8b253efeaf8baf6a08b9d2583f78e395e83832e8ee9f8d8ee1`	Hosted	Baixar
`onnx/tokenizer_config.json`	1.3 KB	`c40ba9de…07cf8ef8` `c40ba9de0d39653e7559a32aaded857f49256f7530544d2f2535b3ae07cf8ef8`	Hosted	Baixar
`onnx/vocab.txt`	213.4 KB	`eeaa9875…1df93d02` `eeaa9875b23b04b4c54ef759d03db9d1ba1554838f8fb26c5d96fa551df93d02`	Hosted	Baixar
`special_tokens_map.json`	112 bytes	`303df45a…5ec200e3` `303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3`	Hosted	Baixar
Docs
`.gitattributes`	445 bytes	`98c91dab…927304c1` `98c91dabef4df27b2fc7c8454d220aba47476f73593cbd034d961fe4927304c1`	Upstream only	File metadata
`README.md`	6.56 KB	`f570efa7…3bae576f` `f570efa74d5f40eeafa35af45bc20ed6bdf49a5e517782218a23467d3bae576f`	Hosted	Baixar

Verificar um download

In the folder where you saved model.safetensors, run:

macOS

shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.

bert-base-NER

Verificar um download

Cookies