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sartifyllc
/
AViLaMa

Zero-Shot Image Classification
Transformers
PyTorch
Safetensors
vision-text-dual-encoder
image generation
visual qa
text-image embedding
image-text embedding
sartify
visual conversional ai
image semantic retrival
african raw resourced languages
Model card Files Files and versions
xet
Community
1

Instructions to use sartifyllc/AViLaMa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sartifyllc/AViLaMa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="sartifyllc/AViLaMa")
    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, AutoModel
    
    processor = AutoProcessor.from_pretrained("sartifyllc/AViLaMa")
    model = AutoModel.from_pretrained("sartifyllc/AViLaMa")
  • Notebooks
  • Google Colab
  • Kaggle
AViLaMa
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  • 2 contributors
History: 88 commits
innocent-charles's picture
innocent-charles
Update README.md
3bf27e2 verified over 1 year ago
  • .gitattributes
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  • README.md
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  • config.json
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  • model.safetensors
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  • preprocessor_config.json
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    3.1 GB
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.txt
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