bert-large-NER safetensors download (1.33 GB) | Hugging Bay

Q: What is this model?

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

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 11 listed files; full count and size unknown. Full repo upstream: 6.67 GB. The recommended download, model.safetensors, is 1.33 GB.

Q: What can I download here?

Hosted here: at least 11 listed files; full count and size unknown. Full repo upstream: 6.67 GB. The original release is at https://huggingface.co/dslim/bert-large-NER.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 11 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-dslim-bert-large-ner/safety on Hugging Bay.

Q: Will dslim/bert-large-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-large-NER

dslim/bert-large-NER

Model details

token classificationLicense: mitSHA-256 recorded for 11 of 17 filessafetensors · ONNX · BIN · H5

Content controls: not assessed.

The catalog lists this model for labeling parts of text. 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-dslim-bert-large-ner/model.safetensors",
    "model.safetensors",
)

Other ways

This file cannot open in the app. The app supports one GGUF file at a time.

See app requirements

11 hosted of 17 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors1.33 GB · 1 file Download · 1.33 GB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

11 hosted of 17 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`model.safetensors` Default	1.33 GB	`81d6a7a3…21d4205b` `81d6a7a3967f136e18bac045a2c8c0ab30f39ae70268129e60255afa21d4205b`	Hosted	Herunterladen
`onnx/model.onnx`	1.33 GB	`46ba1e05…4c44106b` `46ba1e057362a10e8163f69a2c9ef1cbb609e9eca6ab265835d8f7fa4c44106b`	Hosted	Herunterladen
`pytorch_model.bin`	1.33 GB	`db4d615a…ff7cea3d` `db4d615a10a12cfe134388d43d8fba48e909e7f7afa3e4d3b1bd2c24ff7cea3d`	Hosted	Herunterladen
Tokenizer & config
`config.json`	1.45 KB	`e11b71c7…ff304ced` `e11b71c7e638df545a75e3ff926d3eb77024636dee997d9be986dce3ff304ced`	Hosted	Herunterladen
`flax_model.msgpack`	1.33 GB	`d63d3952…6a50f171` `d63d39520929bbeab16344157582be46f09a3ab43095b14f1b1586636a50f171`	Hosted	Herunterladen
`onnx/added_tokens.json`	82 bytes	—	Upstream only	File metadata
`onnx/config.json`	1.2 KB	`ee4dd194…2924f1fa` `ee4dd194a147de250824b128af5be48d92f5a36c1fc3404aa670f6f62924f1fa`	Hosted	Herunterladen
`onnx/special_tokens_map.json`	125 bytes	—	Upstream only	File metadata
`onnx/tokenizer.json`	668.9 KB	—	Upstream only	File metadata
`onnx/tokenizer_config.json`	1.3 KB	—	Upstream only	File metadata
`onnx/vocab.txt`	213.4 KB	—	Upstream only	File metadata
`tf_model.h5`	1.33 GB	`febce5a7…bab172ba` `febce5a7915f2c894cdeb81cbe53bcc06ff3a8c22a96eaf9605aea0bbab172ba`	Hosted	Herunterladen
`tokenizer_config.json`	40 bytes	`ec70da9a…5a5580b3` `ec70da9a619641c3b56e62cb949b8a07f2fdafdb8389b2c72649fb235a5580b3`	Hosted	Herunterladen
`vocab.txt`	213.4 KB	`eeaa9875…1df93d02` `eeaa9875b23b04b4c54ef759d03db9d1ba1554838f8fb26c5d96fa551df93d02`	Hosted	Herunterladen
`special_tokens_map.json`	112 bytes	`303df45a…5ec200e3` `303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3`	Hosted	Herunterladen
Docs
`.gitattributes`	445 bytes	—	Upstream only	File metadata
`README.md`	5.92 KB	`88417a34…f3f68205` `88417a340bab3ff5b06e7c6fcdb89600068a2f4612918b20e909cd62f3f68205`	Hosted	Herunterladen

Einen Download prüfen

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-large-NER

Einen Download prüfen

Cookies