Transformers How to use maazmusa/clip_text_error_similarity_model with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("zero-shot-image-classification", model="maazmusa/clip_text_error_similarity_model")
pipe(
"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png",
candidate_labels=["animals", "humans", "landscape"],
) # Load model directly
from transformers import AutoProcessor, AutoModelForZeroShotImageClassification
processor = AutoProcessor.from_pretrained("maazmusa/clip_text_error_similarity_model")
model = AutoModelForZeroShotImageClassification.from_pretrained("maazmusa/clip_text_error_similarity_model") 
