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