# FacebookAI/xlm-roberta-base

This model is a multilingual RoBERTa base model pre trained on filtered CommonCrawl data covering 100 languages. It uses masked language modeling and is intended for masked language modeling, sequence classification, token classification, question answering, and feature extraction.

## Cite this

- Page: https://huggingbay.xyz/artifact/hf-model-facebookai-xlm-roberta-base
- Citation: FacebookAI/xlm-roberta-base. The Hugging Bay model record. https://huggingbay.xyz/artifact/hf-model-facebookai-xlm-roberta-base (retrieved 2026-11-14).
- Check a downloaded file: run `shasum -a 256 <file>` (macOS), `sha256sum <file>` (Linux) or `Get-FileHash -Algorithm SHA256 <file>` (Windows), then compare with that file's SHA-256 at https://huggingbay.xyz/api/artifacts/hf-model-facebookai-xlm-roberta-base/files?limit=100. How checks work: https://huggingbay.xyz/verification

## Facts

- Type: LLM
- Task: fill-mask
- Framework: transformers
- License: mit: Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/MIT.html)
- Source: https://huggingface.co/FacebookAI/xlm-roberta-base
- Hosting: hosted (10 files)
- Files: 10 hosted of 11 listed
- File counts: "listed" is every file in the source repository; only hosted files download from Hugging Bay, and the download plan lists the files it selects for one download, so its count can differ.
- Hosted here: 10 hosted of 11 listed
- Full repo upstream: 6.35 GB
- Recommended file: 1.12 GB · model.safetensors
- Download: https://huggingbay.xyz/api/artifacts/hf-model-facebookai-xlm-roberta-base/download-plan (download plan: https://huggingbay.xyz/api/artifacts/hf-model-facebookai-xlm-roberta-base/download-plan)
- Per-file SHA-256: available for 10 of 10 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-facebookai-xlm-roberta-base/files?limit=100
- Availability: Ready
- Downloadable: yes
- Run-ready: no (Hugging Bay has not certified a run path for this model; hosted bytes are downloadable and hash-checkable only)
- Peer-assisted fallbacks: 0 verified, 0 pending review
- Downloads: 20024579
- Stars: 969
- Card completeness: 88%

## Description

This model is a multilingual RoBERTa base model pre trained on filtered CommonCrawl data covering 100 languages. It uses masked language modeling and is intended for masked language modeling, sequence classification, token classification, question answering, and feature extraction.

## Model Card Facts

- Declared license: mit
- Pipeline: fill-mask
- Library: transformers
- Task categories: fill-mask
- Languages: multilingual, af, am, ar, as, az, be, bg
- Paper ids: 1911.02116
- File hints: 11 upstream file samples

## Referenced Data

- Paper: 1911.02116

## File Hints

- .gitattributes
- README.md
- config.json
- flax_model.msgpack
- model.onnx
- model.safetensors
- pytorch_model.bin
- sentencepiece.bpe.model
- tf_model.h5
- tokenizer.json
- tokenizer_config.json

## Quality Checklist

- Summary: passed
- Description: passed
- Model card metadata: passed
- License: passed
- Provenance: passed
- File inventory: passed
- Hosted bytes: passed
- Scan result: passed
- Manifest signature: passed

## Safety Notes

- Mirrored 1 selected Hugging Face file by configured-admin; hashes computed from downloaded bytes and manifest signed.
- External catalog metadata imported from Hugging Face public API on 2026-06-30T01:50:32.065Z.
- Open license detected as mit.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

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