Zero-Shot Image Classification
Transformers
PyTorch
OpenCLIP
Safetensors
mammut
feature-extraction
clip
openMammut
datacomp
custom_code
Instructions to use laion/openMaMMUT-ViT-L-14-DataComp-1.4B-s12.8B-b180K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use laion/openMaMMUT-ViT-L-14-DataComp-1.4B-s12.8B-b180K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="laion/openMaMMUT-ViT-L-14-DataComp-1.4B-s12.8B-b180K", trust_remote_code=True) pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("laion/openMaMMUT-ViT-L-14-DataComp-1.4B-s12.8B-b180K", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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