Zero-Shot Image Classification
Transformers
PyTorch
ONNX
Safetensors
English
clip
vision
language
fashion
ecommerce
Instructions to use patrickjohncyh/fashion-clip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickjohncyh/fashion-clip with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="patrickjohncyh/fashion-clip") 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("patrickjohncyh/fashion-clip") model = AutoModelForZeroShotImageClassification.from_pretrained("patrickjohncyh/fashion-clip") - Notebooks
- Google Colab
- Kaggle
add AIBOM
#20 opened 12 months ago
by
sabato-nocera
difference output
1
#19 opened over 1 year ago
by
TurboBoris
Hidden states are None
1
#18 opened over 1 year ago
by
Cyprien
Easy evaluation of the zero-shot capabilities of fashion-clip
#16 opened about 2 years ago
by
fhvilshoj
Farfetch DataSet Availability
2
#15 opened about 2 years ago
by
AliAkbarGH
Fine Tuning fashionCLIP for image-image search
2
#13 opened over 2 years ago
by
AFRF
Inference with SageMaker predictor
1
#11 opened almost 3 years ago
by
michalkowalczuk