Instructions to use lewispons/email-classifiers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lewispons/email-classifiers with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lewispons/email-classifiers") 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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6f165835637286cb9645617f1aba70f50aa3d3e411960adf0b7b8ecc7d63c59d
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size 90868376
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