Sentence Similarity
sentence-transformers
PyTorch
Safetensors
bloom
feature-extraction
mteb
Eval Results (legacy)
Instructions to use bigscience-data/sgpt-bloom-1b7-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use bigscience-data/sgpt-bloom-1b7-nli with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("bigscience-data/sgpt-bloom-1b7-nli") 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
Commit History
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Adding `safetensors` variant of this model (#2)
Verified signature- Adding `safetensors` variant of this model (42377a6cbc89f7d4cfd6754531bc3e648671e384) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>b9dadc0
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