Commit
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89fb165
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Parent(s):
ef258fd
Add prompts to config (#3)
Browse files- add prompts (14917896b1fe196ef57efab5b1f0215673d5041f)
- Update config_sentence_transformers.json (79a7c744cfd0160a3988b824f0e409f23b053560)
- replace "retrieval" with "search" (dd0056fb02b3e4d3a506d12adc1ba811e01c3ae9)
Co-authored-by: Solomatin Roman <Samoed@users.noreply.huggingface.co>
- README.md +21 -1
- config_sentence_transformers.json +10 -0
README.md
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@@ -1651,6 +1651,26 @@ print(sim_scores.diag().tolist())
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# [0.47968706488609314, 0.940900444984436, 0.7761018872261047]
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```
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## Citation
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```
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## Limitations
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The model is designed to process texts in Russian, the quality in English is unknown. Maximum input text length is limited to 512 tokens.
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# [0.47968706488609314, 0.940900444984436, 0.7761018872261047]
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```
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or using prompts (sentence-transformers>=2.4.0):
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```python
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from sentence_transformers import SentenceTransformer
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# loads model with CLS pooling
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model = SentenceTransformer("ai-forever/ru-en-RoSBERTa")
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classification = model.encode(["Он нам и <unk> не нужон ваш Интернет!", "What a time to be alive!"], prompt_name="classification")
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print(classification[0] @ classification[1].T) # 0.47968706488609314
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clustering = model.encode(["В Ярославской области разрешили работу бань, но без посетителей", "Ярославским баням разрешили работать без посетителей"], prompt_name="clustering")
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print(clustering[0] @ clustering[1].T) # 0.940900444984436
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query_embedding = model.encode("Сколько программистов нужно, чтобы вкрутить лампочку?", prompt_name="search_query")
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document_embedding = model.encode("Чтобы вкрутить лампочку, требуется три программиста: один напишет программу извлечения лампочки, другой — вкручивания лампочки, а третий проведет тестирование.", prompt_name="search_document")
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print(query_embedding @ document_embedding.T) # 0.7761018872261047
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```
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## Citation
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```
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## Limitations
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The model is designed to process texts in Russian, the quality in English is unknown. Maximum input text length is limited to 512 tokens.
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config_sentence_transformers.json
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{
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"prompts": {
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"classification": "classification: ",
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"search_query": "search_query: ",
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"search_document": "search_document: ",
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"clustering": "clustering: "
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},
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"default_prompt_name": null,
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"similarity_fn_name": null
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}
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