Instructions to use mayank0621/owlvit-base-patch32_FT_cppe5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mayank0621/owlvit-base-patch32_FT_cppe5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="mayank0621/owlvit-base-patch32_FT_cppe5")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("mayank0621/owlvit-base-patch32_FT_cppe5") model = AutoModelForZeroShotObjectDetection.from_pretrained("mayank0621/owlvit-base-patch32_FT_cppe5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from mayank0621/owlvit-base-patch32_FT_cppe5: direct link, hf CLI and curl.
- Browser
- Download file 862 kB
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https://huggingface.co/mayank0621/owlvit-base-patch32_FT_cppe5/resolve/main/vocab.json
- Command line
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hf download hf://mayank0621/owlvit-base-patch32_FT_cppe5/vocab.json
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curl -L -o vocab.json https://huggingface.co/mayank0621/owlvit-base-patch32_FT_cppe5/resolve/main/vocab.json
862 kB
File too large to display, you can check the raw version instead.