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