# google-bert/bert-base-multilingual-cased

This model is a cased multilingual Transformer pretrained with masked language modeling on the top 104 Wikipedia languages, so it distinguishes english from English. It also uses next sentence prediction and is intended for fine tuning on sentence level tasks such as sequence classification, token classification, and question answering.

## Cite this

- Page: https://huggingbay.xyz/artifact/hf-model-google-bert-bert-base-multilingual-cased
- Citation: google-bert/bert-base-multilingual-cased. The Hugging Bay model record. https://huggingbay.xyz/artifact/hf-model-google-bert-bert-base-multilingual-cased (retrieved 2026-11-14).
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## Facts

- Type: LLM
- Task: fill-mask
- Framework: transformers
- License: apache-2.0: Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/Apache-2.0.html)
- Source: https://huggingface.co/google-bert/bert-base-multilingual-cased
- Hosting: hosted (9 files)
- Files: 9 hosted of 10 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: 9 hosted of 10 listed
- Full repo upstream: 3.23 GB
- Recommended file: 714.3 MB · model.safetensors
- Download: https://huggingbay.xyz/api/artifacts/hf-model-google-bert-bert-base-multilingual-cased/download-plan (download plan: https://huggingbay.xyz/api/artifacts/hf-model-google-bert-bert-base-multilingual-cased/download-plan)
- Per-file SHA-256: available for 9 of 9 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-google-bert-bert-base-multilingual-cased/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: 3646512
- Stars: 623
- Card completeness: 92%

## Description

This model is a cased multilingual Transformer pretrained with masked language modeling on the top 104 Wikipedia languages, so it distinguishes english from English. It also uses next sentence prediction and is intended for fine tuning on sentence level tasks such as sequence classification, token classification, and question answering.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: fill-mask
- Library: transformers
- Task categories: fill-mask
- Languages: multilingual, af, sq, ar, an, hy, ast, az
- Referenced datasets: wikipedia
- Paper ids: 1810.04805
- File hints: 10 upstream file samples

## Referenced Data

- Dataset: wikipedia
- Paper: 1810.04805

## File Hints

- .gitattributes
- README.md
- config.json
- flax_model.msgpack
- model.safetensors
- pytorch_model.bin
- tf_model.h5
- tokenizer.json
- tokenizer_config.json
- vocab.txt

## 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

- External catalog metadata imported from Hugging Face public API on 2026-07-29T22:21:44.374Z.
- Open license detected as apache-2.0.
- Model card references dataset context: wikipedia.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

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