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