Instructions to use BilelDJ/clip-hugging-face-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BilelDJ/clip-hugging-face-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="BilelDJ/clip-hugging-face-finetuned") 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("BilelDJ/clip-hugging-face-finetuned") model = AutoModelForZeroShotImageClassification.from_pretrained("BilelDJ/clip-hugging-face-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- all_results.json +9 -9
- eval_results.json +4 -4
- train_results.json +5 -5
- trainer_state.json +135 -885
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| 206 |
{
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| 208 |
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