Instructions to use HelpingAI/HAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use HelpingAI/HAI with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("HelpingAI/HAI") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41c3214744ec4d28c95e2b807042476f02cd5a6e45e5f229d11e53052692e22d
- Size of remote file:
- 90.9 MB
- SHA256:
- bca8c2f2bd2b23dc7f972f8b783d3c53413232a8226e5cf0e97ac6479991fbd6
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