Instructions to use diwank/dfe-base-en-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use diwank/dfe-base-en-1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("diwank/dfe-base-en-1") 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:
- 1c26f9af3a855216c14892f3245bced326811bb3382ac8cf202899401dd2bc26
- Size of remote file:
- 438 MB
- SHA256:
- 9243b3c55db737a995b2b84b25be196463cbbd8a247063081f5582890754f317
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