netbert safetensors download (436 MB) | Hugging Bay

netbert

antoinelouis/netbert

Model details

masked-language modelingLicense: apache-2.0SHA-256 recorded for 8 of 11 filessafetensors · BIN · H5

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-antoinelouis-netbert/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 11 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.

Informations sur le modèle

netbert is an open-weights language model for masked-language modeling. The primary file is model.safetensors (436 MB). The primary file needs about 2 GB free for the selected file (file plus room to run it). License: Apache 2.0. The SHA-256 prefix is fe0c9dd69ed3. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.

Contenu inclus

5 hosted of 11 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

À propos de ce modèle

External Hugging Face catalog record for antoinelouis/netbert. Task: fill mask. Library: transformers. Languages: en. Popularity signal at import: 57 downloads and 1 likes.

Informations clés

Hosted here: 5 hosted of 11 listed
Full repo upstream: 1.83 GB
Recommended file: 435.7 MB · model.safetensors
Languages: en
Format: safetensors · BIN · H5
Downloads on Hugging Face: 57
File hashes: Hashes recorded. Date not recorded.

Licence et source

License: apache-2.0

5 hosted of 11 listed

Check the license text and keep the required notices when you use or share the files.

Upstream source →

See the JSON record →

License: Apache 2.0. Free to use and share, keep the credit notice
Task: masked-language modeling
Hosted here: at least 5 listed files; full count and size unknown
Full repo upstream: 1.83 GB
Recommended file: 435.7 MB · model.safetensors
Files: 5 hosted of 11 listed
Download: Download here (5 hosted files)
Added to Hugging Bay: Sep 24, 2026
Updated at source: Sep 24, 2026
Source: antoinelouis/netbert

FAQ

What is this model?

antoinelouis/netbert is an open-weights language model for masked-language modeling published by antoinelouis, added to Hugging Bay Sep 24, 2026. Model from Hugging Face for fill mask: antoinelouis/netbert · transformers

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.

How big is it?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 1.83 GB. The recommended download, model.safetensors, is 435.7 MB.

What can I download here?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 1.83 GB. The original release is at https://huggingface.co/antoinelouis/netbert.

File checks and computer fit

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-antoinelouis-netbert/safety on Hugging Bay.

Will antoinelouis/netbert 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.