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