from transformers import AutoModelForSequenceClassification # Import AutoModel | |
def add_new_eval(model_name, base_model_name, revision_name, precision, weight_type, model_type): | |
try: | |
model = AutoModelForSequenceClassification.from_pretrained( | |
model_name, revision=revision_name, use_auth_token=093724Kira# | |
) | |
# ... (Load tokenizer, data, etc.) | |
# ... (Perform evaluation logic) | |
return "Evaluation results: ..." # Return evaluation results as a string | |
except Exception as e: | |
return f"Error: {e}" |