Instructions to use lewispons/large-email-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lewispons/large-email-classifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lewispons/large-email-classifier") 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:
- 58df32e65534032003b7032b9e44056f60d2f01af664829c3afed9848c79fc7b
- Size of remote file:
- 90.9 MB
- SHA256:
- 0dbac9df007a382d1480e1426ea8ae81798eefffcc3aa7c59b00faf883bc0663
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