Sentence Similarity
sentence-transformers
PyTorch
ONNX
Safetensors
Transformers
bert
feature-extraction
text2vec
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use shibing624/text2vec-base-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use shibing624/text2vec-base-multilingual with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("shibing624/text2vec-base-multilingual") 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] - Transformers
How to use shibing624/text2vec-base-multilingual with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("shibing624/text2vec-base-multilingual") model = AutoModel.from_pretrained("shibing624/text2vec-base-multilingual") - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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---
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pipeline_tag: sentence-similarity
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license: apache-2.0
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tags:
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- feature-extraction
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- sentence-similarity
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- transformers
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- mteb
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datasets:
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https://huggingface.co/datasets/shibing624/nli-zh-all/tree/main/text2vec-base-multilingual-dataset
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language:
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- zh
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- en
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- ru
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metrics:
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- spearmanr
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library_name: transformers
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model-index:
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- name: text2vec-base-multilingual
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results:
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---
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pipeline_tag: sentence-similarity
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license: apache-2.0
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library_name: sentence-transformers
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tags:
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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- transformers
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- text2vec
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- mteb
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datasets:
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- shibing624/nli-zh-all
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language:
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- zh
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- en
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- ru
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metrics:
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- spearmanr
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model-index:
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- name: text2vec-base-multilingual
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results:
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