Sentence Similarity
sentence-transformers
Safetensors
Chinese
bert
linktransformer
tabular-classification
text-embeddings-inference
Instructions to use aidanlli/posnegmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use aidanlli/posnegmodel with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("aidanlli/posnegmodel") 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
File size: 809 Bytes
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"_name_or_path": "models/check",
"architectures": [
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],
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"directionality": "bidi",
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"model_type": "bert",
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"pooler_fc_size": 768,
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"pooler_type": "first_token_transform",
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.41.1",
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}
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