Sentence Similarity
sentence-transformers
PyTorch
Safetensors
French
electra
passage-retrieval
Eval Results (legacy)
Instructions to use antoinelouis/biencoder-electra-base-mmarcoFR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use antoinelouis/biencoder-electra-base-mmarcoFR with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("antoinelouis/biencoder-electra-base-mmarcoFR") sentences = [ "C'est une personne heureuse", "C'est un chien heureux", "C'est une personne très heureuse", "Aujourd'hui est une journée ensoleillée" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Commit ·
bf49edd
1
Parent(s): b8fcf2a
Removed "pooling_mode_weightedmean_tokens" and "pooling_mode_lasttoken" which are not yet supported in sentence-transformers 2.2.2
Browse files- 1_Pooling/config.json +1 -3
1_Pooling/config.json
CHANGED
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@@ -3,7 +3,5 @@
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"pooling_mode_cls_token": false,
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"pooling_mode_mean_tokens": true,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false
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"pooling_mode_weightedmean_tokens": false,
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"pooling_mode_lasttoken": false
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}
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"pooling_mode_cls_token": false,
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"pooling_mode_mean_tokens": true,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false
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}
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