Instructions to use jadechoghari/ViP-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jadechoghari/ViP-Base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("jadechoghari/ViP-Base") model = AutoModelForPreTraining.from_pretrained("jadechoghari/ViP-Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from jadechoghari/ViP-Base: direct link, hf CLI and curl.
- Browser
- Download file 56 Bytes
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https://huggingface.co/jadechoghari/ViP-Base/resolve/main/README.md
- Command line
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hf download hf://jadechoghari/ViP-Base/README.md
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curl -L -o README.md https://huggingface.co/jadechoghari/ViP-Base/resolve/main/README.md
56 Bytes
metadata
license: cc-by-nc-2.0
library_name: transformers