36 lines
933 B
Markdown
36 lines
933 B
Markdown
---
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language: fr
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tags:
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- semantic
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- sentence-transformers
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- sentence-similarity
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- fr
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datasets:
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- sts
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---
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# French STS
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## STS dev (french)
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87.4%
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## STS test (french)
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85.8%
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#### STS pipeline
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```python
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!pip install -U sentence-transformers
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from sentence_transformers import SentenceTransformer
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model = SentenceTransformer('..model_path..')
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sentences1 = ["J'aime mon téléphone",
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"Mon téléphone n'est pas bon.",
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"Votre téléphone portable est superbe."]
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sentences2 = ["Est-ce qu'il neige demain?",
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"Récemment, de nombreux ouragans ont frappé les États-Unis",
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"Le réchauffement climatique est réel",]
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embeddings1 = model.encode(sentences1, convert_to_tensor=True)
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embeddings2 = model.encode(sentences2, convert_to_tensor=True)
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cosine_scores = util.pytorch_cos_sim(embeddings1, embeddings2)
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for i in range(len(sentences1)):
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for j in range(len(sentences2)):
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print(cosine_scores[i][j]))
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"""
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"""
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``` |