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:
- 5ea7983482cc8905788f2f6f8a54e879a23b2e9c895295f6a5b4c3a85d9beb22
- Size of remote file:
- 33.4 kB
- SHA256:
- 8e8b4d9d33bbc93a3044a6e13471608f858090062a561c001bd25e62fb3556ba
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