Feature Extraction
sentence-transformers
PyTorch
Safetensors
xlm-roberta
mteb
Sentence Transformers
sentence-similarity
Eval Results (legacy)
text-embeddings-inference
Instructions to use cocongy/e5-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use cocongy/e5-finetuned with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("cocongy/e5-finetuned") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
5e0aef8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:26fb0d8dfca33b681eb3b59a553122197fc13ab81ea777a59e0529ff5df9bd0d
size 1112244081
|