Sentence Similarity
sentence-transformers
PyTorch
ONNX
Safetensors
English
bert
feature-extraction
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use avsolatorio/GIST-small-Embedding-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use avsolatorio/GIST-small-Embedding-v0 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("avsolatorio/GIST-small-Embedding-v0") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58a4128f463ff5d3c74743f30df351fee340a82fe358efe284f2c02441575f9f
- Size of remote file:
- 134 MB
- SHA256:
- b3fd40257aa407bb4e907d7cbd0ed617b825bef549bc2c0c00b5131618ab44e9
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