Instructions to use VISAI-AI/nitibench-ccl-auto-finetuned-bge-m3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use VISAI-AI/nitibench-ccl-auto-finetuned-bge-m3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("VISAI-AI/nitibench-ccl-auto-finetuned-bge-m3") 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:
- 0164a312ce63700cf8f9dd8920620689c905680dd427f74f28936273baaf0b3a
- Size of remote file:
- 5.56 kB
- SHA256:
- a068a90119e1491f7ec0a85e40bcc3c5b07460c32f552a4b36dfd5da3c45a844
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