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baobabtech
/
millid-medium-v1

Text Classification
PyTorch
ONNX
Safetensors
multilingual
language-identification
byte-level
Eval Results (legacy)
🇪🇺 Region: EU
Model card Files
xet
 Community
4
millid-medium-v1

Commit History

Yesterday

  1. Model card for the public release

    byamasupatrick
    Verified signature
    664b943

  2. Model card for the public release

    byamasupatrick
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    64c169c

  3. Model card for the public release (#3)⁠

    byamasupatrick
    29396e1

  4. Model card for the public release (#2)⁠

    byamasupatrick
    bd840e1

  5. Model card: run it without a server, in Python or JavaScript (#1)⁠

    byamasupatrick
    e21df59

8 days ago

  1. ONNX export: n-gram orders summed one at a time (a third of the peak memory)

    byamasupatrick
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    e2cc97f

  2. Language names in labels.json, for the ONNX runtime

    byamasupatrick
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    c660c7c

  3. ONNX export: pad odd lengths in the graph (the previous export failed on them)

    byamasupatrick
    Verified signature
    85e71ba

  4. ONNX export, for ONNX Runtime (verified against PyTorch)

    byamasupatrick
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    7f06e66

  5. Evaluated again on baobabtech/millid-dataset

    byamasupatrick
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    c24c6bc

  6. The architecture document

    byamasupatrick
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    b41c6c4

  7. MillID medium, step 56000

    byamasupatrick
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    8377b1e

  8. initial commit

    byamasupatrick
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    bf62dc7