Sentence Similarity
sentence-transformers
Safetensors
Chinese
gemma3_text
feature-extraction
embedding
retrieval
rag
traditional-chinese
zh-tw
taiwan
gemma3
text-embeddings-inference
Instructions to use xCloudinfo/xcloud-emb-zhtw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use xCloudinfo/xcloud-emb-zhtw with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("xCloudinfo/xcloud-emb-zhtw") sentences = [ "那是 個快樂的人", "那是 條快樂的狗", "那是 個非常幸福的人", "今天是晴天" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 822af82394ab63021f52b1f6b8ac6a7c84a34b8eb17ada8c86b515baf33ab19f
- Size of remote file:
- 33.4 MB
- SHA256:
- 325b91488906fd4e2a7fd2b35baa08e894a5b7de0a966d37edf608bc9fec5604
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