How to use google-bert/bert-base-multilingual-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-base-multilingual-cased")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-base-multilingual-cased") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-base-multilingual-cased", device_map="auto")
https://huggingface.co/google-bert/bert-base-multilingual-cased/resolve/refs%2Fpr%2F13/neuron/tokenizer.json
hf download hf://google-bert/bert-base-multilingual-cased@refs/pr/13/neuron/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/google-bert/bert-base-multilingual-cased/resolve/refs%2Fpr%2F13/neuron/tokenizer.json
