Sentence Similarity
PyTorch
sentence-transformers
Santali
English
feature-extraction
low-resource
cross-lingual
garo
tibeto-burman
northeast-india
Instructions to use Badnyal/GaroEmbed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Badnyal/GaroEmbed with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Badnyal/GaroEmbed") 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:
- a158dc12fe83cc4da276fa22a1b5133b9a54ecd96234be9496a05f395dcb44e2
- Size of remote file:
- 456 kB
- SHA256:
- 6d786b6cb2dc4f9d66b30c037213af39fca030bd35993bd4362b40bb5db00ddc
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