Instructions to use 0x4C57/openeden-codebook-base-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use 0x4C57/openeden-codebook-base-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("0x4C57/openeden-codebook-base-model") 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:
- a6b32a423f09959c0c16104e91c762a73966601c58f47b524a75f91479bedd34
- Size of remote file:
- 5.24 kB
- SHA256:
- 8cb0eeaed279e1be8adbd7c2c53cf451bc0317935282d227d7199de5631aeadf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.