How to use google-bert/bert-large-uncased-whole-word-masking with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-large-uncased-whole-word-masking")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-large-uncased-whole-word-masking") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-large-uncased-whole-word-masking", device_map="auto")
https://huggingface.co/google-bert/bert-large-uncased-whole-word-masking/resolve/main/tokenizer_config.json
hf download hf://google-bert/bert-large-uncased-whole-word-masking/tokenizer_config.json
curl -L -o tokenizer_config.json https://huggingface.co/google-bert/bert-large-uncased-whole-word-masking/resolve/main/tokenizer_config.json
