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turing552
/
clip-pokemon-5ep

Zero-Shot Image Classification
Transformers
PyTorch
clip
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use turing552/clip-pokemon-5ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use turing552/clip-pokemon-5ep with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="turing552/clip-pokemon-5ep")
    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("turing552/clip-pokemon-5ep")
    model = AutoModelForZeroShotImageClassification.from_pretrained("turing552/clip-pokemon-5ep")
  • Notebooks
  • Google Colab
  • Kaggle
clip-pokemon-5ep
609 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
turing552's picture
turing552
End of training
21626eb verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    1.13 kB
    Model save 7 months ago
  • config.json
    484 Bytes
    Training in progress, step 85 7 months ago
  • merges.txt
    525 kB
    End of training 7 months ago
  • preprocessor_config.json
    504 Bytes
    End of training 7 months ago
  • pytorch_model.bin
    605 MB
    xet
    Training in progress, step 85 7 months ago
  • special_tokens_map.json
    588 Bytes
    End of training 7 months ago
  • tokenizer.json
    2.22 MB
    End of training 7 months ago
  • tokenizer_config.json
    743 Bytes
    End of training 7 months ago
  • training_args.bin
    5.18 kB
    xet
    Training in progress, step 85 7 months ago
  • vocab.json
    862 kB
    End of training 7 months ago