Sentence Similarity
sentence-transformers
Safetensors
bert
embeddings
cross-lingual
multilingual
igbo
hausa
yoruba
information-retrieval
semantic-search
text-embeddings-inference
Instructions to use Modularcomputing/Native-Bird with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Modularcomputing/Native-Bird with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Modularcomputing/Native-Bird") 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
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Download README.md from Modularcomputing/Native-Bird: direct link, hf CLI and curl.
- Browser
- Download file 28 Bytes
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https://huggingface.co/Modularcomputing/Native-Bird/resolve/b9352887a093174bf0827094674e03337ba14366/README.md
- Command line
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hf download hf://Modularcomputing/Native-Bird@b9352887a093174bf0827094674e03337ba14366/README.md
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curl -L -o README.md https://huggingface.co/Modularcomputing/Native-Bird/resolve/b9352887a093174bf0827094674e03337ba14366/README.md
28 Bytes
metadata
license: apache-2.0