Sentence Similarity
sentence-transformers
English
bert
ctranslate2
int8
float16
mteb
Sentence Transformers
Eval Results (legacy)
text-embeddings-inference
Instructions to use michaelfeil/ct2fast-e5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use michaelfeil/ct2fast-e5-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("michaelfeil/ct2fast-e5-large") 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
Upload intfloat/e5-large ctranslate fp16 weights 3d2a1cf
Upload intfloat/e5-large ctranslate fp16 weights 7f77418
Upload intfloat/e5-large ctranslate fp16 weights 1e810ff
Upload intfloat/e5-large ctranslate fp16 weights 59170b9
Upload intfloat/e5-large ctranslate fp16 weights 92cf940
Upload intfloat/e5-large ctranslate fp16 weights 767c156
Upload intfloat/e5-large ctranslate fp16 weights 562c9ab
Upload intfloat/e5-large ctranslate fp16 weights 766b1f3
Upload intfloat/e5-large ctranslate fp16 weights a67419b
Upload intfloat/e5-large ctranslate fp16 weights c2c40a8
Upload intfloat/e5-large ctranslate fp16 weights c533759
Upload intfloat/e5-large ctranslate fp16 weights c0d2c88
Upload intfloat/e5-large ctranslate fp16 weights 24ac540
initial commit 25e4e71
Michael commited on