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