Sentence Similarity
sentence-transformers
Safetensors
Nepali
English
xlm-roberta
feature-extraction
nepali
nepal
retrieval
rag
text-embeddings-inference
Instructions to use Ganu000/nepali-e5-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Ganu000/nepali-e5-base-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Ganu000/nepali-e5-base-v1") 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:
- 7f686e947e0b9d36c958512a852baddaabd2b3ff5be7abad2fb11a1fb2755fe1
- Size of remote file:
- 17.1 MB
- SHA256:
- a514807cffabd8abaf028cfaffe7ff0c4f60b97ea2db80c41f14172ae6b018ca
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