How to use mllm-dev/llama_f_experiment_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mllm-dev/llama_f_experiment_large", trust_remote_code=True)
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mllm-dev/llama_f_experiment_large", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("mllm-dev/llama_f_experiment_large", trust_remote_code=True)
This model has 3 files scanned as unsafe.
What is a pickle import?
How to fix it?
