Sentence Similarity
sentence-transformers
Safetensors
English
bert
feature-extraction
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use avsolatorio/GIST-large-Embedding-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use avsolatorio/GIST-large-Embedding-v0 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("avsolatorio/GIST-large-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
File size: 232 Bytes
9b911f6 | 1 | {"repo_id": "avsolatorio/02-100-11-1-2-2-0-0-cls-normed-1024-512_GIST_BAAI_bge-large-en-v1.5-20240212001152-latest", "commit_message": "{\"loss\": 0.1359, \"learning_rate\": 1.880476475349263e-06, \"epoch\": 1.5, \"step\": 171000}"} |