Instructions to use ahhany/ConstructionEmbeddingBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ahhany/ConstructionEmbeddingBERT with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ahhany/ConstructionEmbeddingBERT") 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 sha256:09452b9fe9b2cb89d3d2f6b53ab47739ff8226e889fb2de314337ebd79e593f4
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0a693770ec0068c3a4f8766548bf64df722ac4f02bee0e472e750b600376dfc9
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size 437951328
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