Instructions to use belrem/llm-prompt-intent-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use belrem/llm-prompt-intent-classifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("belrem/llm-prompt-intent-classifier") 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:
- 3b25c1ccc5c425749254a897e59dd31ed55e03f97566e9d4b7ea78d8c3274699
- Size of remote file:
- 22.9 kB
- SHA256:
- 5c15e2405647b9573aa5e985ffa71436d78fe5a838456b500bb2eae32f4f75a6
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