Sentence Similarity
sentence-transformers
Safetensors
Vietnamese
qwen3
feature-extraction
legal
vietnamese
mteb
retrieval
text-embeddings-inference
Instructions to use mainguyen9/vietlegal-harrier-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use mainguyen9/vietlegal-harrier-0.6b with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mainguyen9/vietlegal-harrier-0.6b") 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
Download tokenizer.json from mainguyen9/vietlegal-harrier-0.6b: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/mainguyen9/vietlegal-harrier-0.6b/resolve/main/tokenizer.json
- Command line
-
hf download hf://mainguyen9/vietlegal-harrier-0.6b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mainguyen9/vietlegal-harrier-0.6b/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 3707ee3deea442618ed892c08df1ffd9d566e6b67b823a26f6295c1471a32758
- Size of remote file:
- 11.4 MB
- SHA256:
- c87c38db060bafb0122019c0c749ec1eb1ae510dae43c93f0042ec51099942e8
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