How to use BioMedTok/SentencePieceBPE-NACHOS-FR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BioMedTok/SentencePieceBPE-NACHOS-FR")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BioMedTok/SentencePieceBPE-NACHOS-FR") model = AutoModelForMaskedLM.from_pretrained("BioMedTok/SentencePieceBPE-NACHOS-FR", device_map="auto")
https://huggingface.co/BioMedTok/SentencePieceBPE-NACHOS-FR/resolve/refs%2Fpr%2F1/tokenizer.json
hf download hf://BioMedTok/SentencePieceBPE-NACHOS-FR@refs/pr/1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/BioMedTok/SentencePieceBPE-NACHOS-FR/resolve/refs%2Fpr%2F1/tokenizer.json
