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FacebookAI

xlm-roberta-base

FacebookAI/xlm-roberta-base
masked-language modelingLicense: mitHashes recordedONNX · safetensors · BIN · H5

Content controls: not assessed.

Model from Hugging Face for fill mask: FacebookAI/xlm-roberta-base · transformers

Model facts

xlm-roberta-base is an open-weights language model for masked-language modeling. The primary file is model.safetensors (1.12 GB). The primary file needs about 3 GB free for the selected file. License: MIT. The SHA-256 prefix is 6fd4797bc397. The primary Download is available now. No tested run commands for this file yet. Some listed files are available here. 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. The size line uses recorded file bytes when they are present in this model record.

What's included

Weights3 files
Tokenizer & config4 files
README, LICENSE & .gitattributes2 files

About this model

External Hugging Face catalog record for FacebookAI/xlm-roberta-base. Task: fill mask. Library: transformers. Languages: multilingual, af, am, ar, as, az, be, bg. Files we host have a published SHA-256.

Quick facts

Hosted here
at least 10 listed files; full count and size unknown
Full repo upstream
6.35 GB
Recommended file
1.12 GB · model.safetensors
Languages
multilingual, af, am, ar, as, az, be, bg, bn, br, bs, ca
Format
ONNX · safetensors · BIN · H5
Files hosted
10 of 11
Downloads on Hugging Face
20,024,579
File hashes
Hashes recorded. Date not recorded.

License & source

License: mit

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

Upstream source →

See the JSON record →

Task
masked-language modeling
Hosted here
at least 10 listed files; full count and size unknown
Full repo upstream
6.35 GB
Recommended file
1.12 GB · model.safetensors
Files
10 hosted of 11 listed
Added to Hugging Bay
Updated at source

FAQ

What is this model?

FacebookAI/xlm-roberta-base is an open-weights language model for masked-language modeling published by FacebookAI, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for fill mask: FacebookAI/xlm-roberta-base · transformers

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.

How big is it?

Hosted here: at least 10 listed files; full count and size unknown. Full repo upstream: 6.35 GB. The recommended download, model.safetensors, is 1.12 GB.

What can I download here?

Hosted here: at least 10 listed files; full count and size unknown. Full repo upstream: 6.35 GB. The original release is at https://huggingface.co/FacebookAI/xlm-roberta-base.

File checks and computer fit
File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 10 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-facebookai-xlm-roberta-base/safety on Hugging Bay.

Will FacebookAI/xlm-roberta-base 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.

Other versions of this model

1 repack listed on Hugging Face that name this model as their base (from each publisher card). This does not mean the files match the original weights.