Instructions to use hkit/gte-large-manual2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use hkit/gte-large-manual2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("hkit/gte-large-manual2") 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:f7341792d0e2c0766c7df9d71c78f32255cd53938c18e286e25a6e7176ab3bd9
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size 670328392
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