# 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")Quick Links
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Check out the documentation for more information.
PyTorch trained model on GAD dataset for relation classification, using BioBert weights.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ChrisUPM/BioBERT_Re_trained")