Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use Ericu950/TemporaryLikeAchilles with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Ericu950/TemporaryLikeAchilles with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Ericu950/TemporaryLikeAchilles") 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
- Xet hash:
- a6f245d5141ef77b3b89d7b7b9abc5ffcc095aad2908a46268b077c87d7319b6
- Size of remote file:
- 17.1 MB
- SHA256:
- 69564b696052886ed0ac63fa393e928384e0f8caada38c1f4864a9bfbf379c15
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