Instructions to use arinze/address-match-abp-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use arinze/address-match-abp-v5 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("arinze/address-match-abp-v5") 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
- 3_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:be33bc3dc8c73dbcefa550ac42dc4b4103fedebe59247c453f1f7e7d85fcc401
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size 98744
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3_Dense/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:105146ff9e892fc13ae5c016aab3d776ddc2a9579fd1674044a64a87c2b77426
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size 16504
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c51c269f4bd88a8d6a476b7aae68b2f4322d28a663bc6c87f85d0b4c9607a536
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size 90868376
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