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:
- 38eacefa8673e43d405dbcb1b54f17a02e53f429855411f4c2032e69509f066d
- Size of remote file:
- 202 kB
- SHA256:
- 3cbdf07908806a0578026e56ae77af071c4669bfa3c0645d29917f8a2e00f793
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