Instructions to use geevec-ai/geevec-embeddings-mm-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use geevec-ai/geevec-embeddings-mm-1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="geevec-ai/geevec-embeddings-mm-1.0")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("geevec-ai/geevec-embeddings-mm-1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Yesterday
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Use a video file path in the retrieval example
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Add standalone embedding wrapper and simplify model card usage
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Update model card with retrieval benchmark comparisons
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Add model card for geevec-embeddings-mm-1.0
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initial commit
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