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/refs%2Fpr%2F1/Model_predict_final.ipynb
hf download hf://ChrisUPM/BioBERT_Re_trained@refs/pr/1/Model_predict_final.ipynb
curl -L -o Model_predict_final.ipynb https://huggingface.co/ChrisUPM/BioBERT_Re_trained/resolve/refs%2Fpr%2F1/Model_predict_final.ipynb
