Feature Extraction
sentence-transformers
Safetensors
English
bert
retrieval
skill-retrieval
agent
on-device
text-embeddings-inference
Instructions to use ThakiCloud/SKILLRET-Edge-109M-int3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ThakiCloud/SKILLRET-Edge-109M-int3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ThakiCloud/SKILLRET-Edge-109M-int3") 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:
- 384131ab2df0762eadad950e7b91c3f827727bc84a5a8fde392e14c9c15871e6
- Size of remote file:
- 68.4 MB
- SHA256:
- 98cf6b652e6c5b6f5eb395c6e5397484150127e244b32b65d0033d5b1c9654ee
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