How to use vectara/hallucination_evaluation_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vectara/hallucination_evaluation_model", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("vectara/hallucination_evaluation_model", trust_remote_code=True, device_map="auto")
https://huggingface.co/vectara/hallucination_evaluation_model/resolve/refs%2Fpr%2F2/tokenizer.json
hf download hf://vectara/hallucination_evaluation_model@refs/pr/2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/vectara/hallucination_evaluation_model/resolve/refs%2Fpr%2F2/tokenizer.json
