Instructions to use BAAI/EVA-CLIP-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/EVA-CLIP-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BAAI/EVA-CLIP-8B", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("BAAI/EVA-CLIP-8B", trust_remote_code=True) model = AutoModel.from_pretrained("BAAI/EVA-CLIP-8B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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## BibTeX & Citation
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```
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@article{EVA-CLIP,
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title={EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters},
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author={Quan Sun and Jinsheng Wang and Qiying Yu and Yufeng Cui and Fan Zhang and Xiaosong Zhang and Xinlong Wang},
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journal={arXiv preprint arXiv:2402.04252},
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## BibTeX & Citation
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```
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@article{EVA-CLIP-18B,
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title={EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters},
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author={Quan Sun and Jinsheng Wang and Qiying Yu and Yufeng Cui and Fan Zhang and Xiaosong Zhang and Xinlong Wang},
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journal={arXiv preprint arXiv:2402.04252},
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