Instructions to use drift-ai/drawify-snapsearch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use drift-ai/drawify-snapsearch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="drift-ai/drawify-snapsearch") 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("drift-ai/drawify-snapsearch") model = AutoModelForZeroShotImageClassification.from_pretrained("drift-ai/drawify-snapsearch") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 5f06e40
Upload processor
Browse files- tokenizer_config.json +1 -2
tokenizer_config.json
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"pad_token": "<|endoftext|>",
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"processor_class": "CLIPProcessor",
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"tokenizer_class": "CLIPTokenizer",
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"unk_token": "<|endoftext|>"
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"use_safetensors": true
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}
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"pad_token": "<|endoftext|>",
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"processor_class": "CLIPProcessor",
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"tokenizer_class": "CLIPTokenizer",
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"unk_token": "<|endoftext|>"
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}
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