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p0x0q-dev
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bge-m3-sparse-experimental

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sentence-transformers
PyTorch
ONNX
xlm-roberta
feature-extraction
text-embeddings-inference
Model card Files
xet
 Community
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bge-m3-sparse-experimental

Commit History

  1. Update README.md

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  1. Update README.md

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  2. Update README.md

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  1. Revert "カスタムハンドラではなく、デフォルトでスパースに対応する"⁠

    p0x0q
    a24ac3a

  2. スパースが得られるように

    p0x0q
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  3. feat: テキストのスパースエンコーディングを追加

    p0x0q
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  4. テストモデル保存

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  5. モデルマージ

    p0x0q
    07816a1

  6. カスタムハンドラではなく、デフォルトでスパースに対応する

    p0x0q
    79e008e

  7. chore: Update config.json and config_sentence_transformers.json

    p0x0q
    4d88031

  8. Update README.md

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  9. Update README.md

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  1. Refactor handler.py to include max_length parameter in model.encode()

    takanezawa
    a971cda

  2. 予測時間を計測できるように

    takanezawa
    473c7e6

  3. Refactor handler.py to remove unnecessary code and return dense vectors as a list

    takanezawa
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  4. dense_vecsの初期化を行う

    takanezawa
    9aae34a

  5. chore: Update handler.py to return sparse vectors as a dictionary

    takanezawa
    0d6d4f8

  6. Refactor handler.py to use relative path for model initialization

    takanezawa
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  7. Refactor handler.py to use relative path for model initialization

    takanezawa
    c0a3a1a

  8. chore: Add FlagEmbedding and peft to requirements.txt

    takanezawa
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  9. サンプルハンドラーレスポンスを採用する

    takanezawa
    ac3ea59

  10. chore: Refactor handler.py to return a list of predictions

    takanezawa
    4f6d751

  11. chore: Update handler.py to return sparse embeddings

    takanezawa
    8b84237

  12. スパースベクトル化に対応する

    takanezawa
    4af82f4

  13. カスタムハンドラの導入

    takanezawa
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  14. Upload 6 files

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  15. Add empty .gitkeep file to the imgs directory

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  16. chore: Add pooling configuration file

    takanezawa
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  17. Upload 8 files

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  18. chore: Add tokenizer configuration file

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  19. Upload 12 files

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  20. Upload pytorch_model.bin

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  21. initial commit

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