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
File size: 268 Bytes
dbf5262 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"baseModel": "Qwen/Qwen3-Embedding-0.6B",
"samples": 2048,
"dimensions": [
"l",
"p",
"e",
"s",
"tau",
"v",
"m",
"f"
],
"embeddingDim": 1024,
"epochs": 5,
"batchSize": 16,
"freezeTextEncoder": false
}
|