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:
- 9cd6a48091bcf37eda937629a01d9f5fccacf7aeaca1678713c593db273aa717
- Size of remote file:
- 1.07 MB
- SHA256:
- d07b6061d3f768b16b90a6050064b27f22d0879cafa3c3eb5a07f2abd2c7fb6b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.