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 the last 2 model files
Browse files
pytorch_model-00007-of-00008.bin
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oid sha256:a843a775ace6152b46c44dcefb11eb6367aa4d58de050a7bb580800e7992b3fb
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size 4968256593
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