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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 (#4)⁠

    byamasupatrick
    a3c743f

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

    byamasupatrick
    29396e1

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

    byamasupatrick
    bd840e1

  4. 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
    Verified signature
    e2cc97f

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

    byamasupatrick
    Verified signature
    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
    Verified signature
    7f06e66

  5. Evaluated again on baobabtech/millid-dataset

    byamasupatrick
    Verified signature
    c24c6bc

  6. The architecture document

    byamasupatrick
    Verified signature
    b41c6c4

  7. MillID medium, step 56000

    byamasupatrick
    Verified signature
    8377b1e

  8. initial commit

    byamasupatrick
    Verified signature
    bf62dc7