Instructions to use BAAI/EVA-CLIP-18B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/EVA-CLIP-18B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BAAI/EVA-CLIP-18B", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("BAAI/EVA-CLIP-18B", trust_remote_code=True) model = AutoModel.from_pretrained("BAAI/EVA-CLIP-18B", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
upload pytorch_model-00005-of-00008.bin
Browse files
pytorch_model-00005-of-00008.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9be4f9ed186acebecd15785a8e9bba7151634b7d2c3d78f4e70ec158fa0bdf64
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size 9752971053
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