Instructions to use Sanjay1603/classification-xgb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Sanjay1603/classification-xgb with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Sanjay1603/classification-xgb") 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:
- 14361e7e8910aa53222993a151211429240a0cb9b9c44176338bb68ef3056faf
- Size of remote file:
- 496 Bytes
- SHA256:
- 638a0cb0f1449772d4baa54072e49800eca22c432b615003f8a69d975aa3c2cd
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