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