How to use TimB-92/test-classification-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="TimB-92/test-classification-model", trust_remote_code=True)
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("TimB-92/test-classification-model", trust_remote_code=True) model = AutoModel.from_pretrained("TimB-92/test-classification-model", trust_remote_code=True)
