How to use Wellcome/WellcomeBertMesh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Wellcome/WellcomeBertMesh", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Wellcome/WellcomeBertMesh", trust_remote_code=True) model = AutoModel.from_pretrained("Wellcome/WellcomeBertMesh", trust_remote_code=True, device_map="auto")
https://huggingface.co/Wellcome/WellcomeBertMesh/resolve/refs%2Fpr%2F3/tokenizer.json
hf download hf://Wellcome/WellcomeBertMesh@refs/pr/3/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Wellcome/WellcomeBertMesh/resolve/refs%2Fpr%2F3/tokenizer.json
