Instructions to use JoBeer/sentence-t5-base-eclass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use JoBeer/sentence-t5-base-eclass with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("JoBeer/sentence-t5-base-eclass") 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 sha256:2951aca7011358a78a0d0fb9563c43525d701c43ee09481265c1659f82eea3b6
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size 2359416
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:86a8d17f26ff5816038159201c5c6cd03cf35dc6a0cd8e9c49dcaef63187d4e5
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size 438525920
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