Instructions to use lingtrain/labse-buryat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lingtrain/labse-buryat with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lingtrain/labse-buryat") 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
- 2_Dense/model.safetensors +3 -0
- model.safetensors +3 -0
2_Dense/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5e39fb6f2aac5bb1a11e4bfc044f6108e398f271088c67a3a05e2943869a4b49
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size 2362560
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2ab5a249f86182390fc058474c0947b4af2afed1863e9d6792af6cd74381abbf
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size 1883734344
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