Instructions to use munhim/multimodal-rag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use munhim/multimodal-rag with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("munhim/multimodal-rag") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 409e260ec7083e9e19f52b557af17866adc9508f6720b5b65f4f5ea9f010802f
- Size of remote file:
- 584 kB
- SHA256:
- 16b0bf902d1c151c553badfd7a83b4d2eacddf0dc10c7e8db9320b0d68097ddf
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