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