Sentence Similarity
sentence-transformers
Safetensors
qwen3
feature-extraction
dense
Generated from Trainer
loss:CachedMultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use reasonwang/embedding-qwen3-1.7b-embedding_ctxt_unicode_shuf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use reasonwang/embedding-qwen3-1.7b-embedding_ctxt_unicode_shuf with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("reasonwang/embedding-qwen3-1.7b-embedding_ctxt_unicode_shuf") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from reasonwang/embedding-qwen3-1.7b-embedding_ctxt_unicode_shuf: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/reasonwang/embedding-qwen3-1.7b-embedding_ctxt_unicode_shuf/resolve/main/tokenizer.json
- Command line
-
hf download hf://reasonwang/embedding-qwen3-1.7b-embedding_ctxt_unicode_shuf/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/reasonwang/embedding-qwen3-1.7b-embedding_ctxt_unicode_shuf/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- cb096516b5d9f86568d688cfbdfd63483fd8b1cdeee90ea0973ac6357de8a0d2
- Size of remote file:
- 11.4 MB
- SHA256:
- aed98cff73772352c260a48579f3b212cb2b06ce0553446799ebf0b5465b0673
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