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huridocs / pdf-document-layout-analysis

A Docker-powered service for PDF document layout analysis. This service provides a powerful and flexible PDF analysis service. The service allows for the segmentation and classification of different parts of PDF pages, identifying the elements such as texts, titles, pictures, tables and so on.
Apache License 2.0
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Bump transformers from 4.39.0 to 4.43.1 #51

Closed dependabot[bot] closed 3 months ago

dependabot[bot] commented 3 months ago

Bumps transformers from 4.39.0 to 4.43.1.

Release notes

Sourced from transformers's releases.

v4.43.1: Patch release

Patch release v4.42.4

Mostly gemma2 support FA2 softcapping!

but also fix the sliding window for long context and other typos.

Was off last week could not get this out, thanks all for your patience 🥳

Patch release v4.42.3

Make sure we have attention softcapping for "eager" GEMMA2 model

After experimenting, we noticed that for the 27b model mostly, softcapping is a must. So adding it back (it should have been there, but an error on my side made it disappear) sorry all! 😭

  • Gemma capping is a must for big models (#31698)

Patch release v4.42.2

Patch release

Thanks to our 2 contributors for their prompt fixing mostly applies for training and FA2!

v4.42.1: Patch release

Patch release for commit:

  • [HybridCache] Fix get_seq_length method (#31661)

v4.42.0: Gemma 2, RTDETR, InstructBLIP, LLAVa Next, New Model Adder

New model additions

Gemma-2

The Gemma2 model was proposed in Gemma2: Open Models Based on Gemini Technology and Research by Gemma2 Team, Google. Gemma2 models are trained on 6T tokens, and released with 2 versions, 2b and 7b.

The abstract from the paper is the following:

This work introduces Gemma2, a new family of open language models demonstrating strong performance across academic benchmarks for language understanding, reasoning, and safety. We release two sizes of models (2 billion and 7 billion parameters), and provide both pretrained and fine-tuned checkpoints. Gemma2 outperforms similarly sized open models on 11 out of 18 text-based tasks, and we present comprehensive evaluations of safety and responsibility aspects of the models, alongside a detailed description of our model development. We believe the responsible release of LLMs is critical for improving the safety of frontier models, and for enabling the next wave of LLM innovations

image

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dependabot[bot] commented 3 months ago

Superseded by #53.