londogard / londogard-nlp-toolkit

Londogard Natural Language Processing Toolkit written in Kotlin
https://londogard.github.io/londogard-nlp-toolkit/
Apache License 2.0
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Bump ai.djl.huggingface:tokenizers from 0.18.0 to 0.21.0 #176

Open dependabot[bot] opened 1 year ago

dependabot[bot] commented 1 year ago

Bumps ai.djl.huggingface:tokenizers from 0.18.0 to 0.21.0.

Release notes

Sourced from ai.djl.huggingface:tokenizers's releases.

DJL v0.20.0 release

Key Features

  • Upgrades and enhancements for Engines
    • Upgrades PyTorch to 1.13.0 (#2157)
    • Add support for Apple's Metal Performance Shaders (MPS) in PyTorch (#2037)
    • Add system property to config GraphExecutorOptimize (#2156)
    • Upgrades ONNXRuntime to 1.13.1 (#2115)
    • Upgrades Paddle to 2.3.2 (#2116)
    • Upgrades TensorFlow to 2.7.4 (#2121)
    • Upgrades HuggingFace tokenizer version to 0.13.1 (#2127)
    • Upgrades XGBoost to 1.7.1 (#2143)
  • DJLServing
    • Adds large model inference support with MPI mode (#291)
    • Adds built-in DeepSpeed handler (#292)
    • Publishes PaddlePaddle docker image (#342)
  • Adds TabNet Training (#2057)
  • Publishes DJL Zero (#2091)
  • Adds Spark extension (#2162)
  • Introduces several improvements for timeseries extension
  • Adds ImageFeatureExtractor example and resnet base model to model zoo

Enhancement

  • Introduces several enhancements for timeseries extension:
    • Adds probability distribution support for timeseries (#2025)
    • Add time series dataset support for timeseries package (#2026)
    • Update M5Forecast dataset and its unittest (#2105)
    • Add some basic block and deepAR model (#2027)
    • Enable pytorch deepar model inference in time series package (#2149)
  • Introduces several enhancement for HuggingFace tokenizer:
    • Enhance huggingface text embedding translator to support max length padding (#2049)
    • Add cli options to only validate jit model on CPU (#2052)
    • Add batch decoding methods for tokenizers (#2154)
  • Adds new models to DJL model zoo:
    • Adds TabNet model for tabular dataset in modelzoo (#2036)
    • Adds yolo5s to OnnxRuntime model zoo (#2046)
    • Object Detection (#1930)
    • Adds image classification resnet18 base model to model zoo (#2079)
  • DJL API improvements:
    • Adds Sparsemax block (#2028)
    • Updates the SemanticSegmentationTranslator (#2032)
    • Creates Ensembleable (#2043)
    • Handle error when forget to initialize a child block (#2045)
    • Adds draw mask for BitMapWrapper (#2071)
    • Allows show NDArray content in debugger (#2078)
    • Rename transparency to opacity in CategoryMask (#2081)
    • Allows to show NDArray content in Debugger 2 (#2080)
    • Transfer learning with pytorch engine on fresh fruit dataset (#2070)
    • Ensure GradientCollector can clear gradients (#2101)

... (truncated)

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