Instructions to use hlyu/nert_1dense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use hlyu/nert_1dense with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("hlyu/nert_1dense") 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:b03632f79882afc5125b6cd9852854a9d2c27e547a828421af5eb67cd7ec2a7e
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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 sha256:580e4dbf82aecf9b2b21052e37d61de9cfcddaca084832b387999127aa9a0f6b
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size 97715992
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