Reverse Dependencies of onnxruntime-tools

The following projects have a declared dependency on onnxruntime-tools:

• adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• adapters — A Unified Library for Parameter-Efficient and Modular Transfer Learning
• amf-fast-inference — uses pruning and quatisation to make inference speed faster
• cody-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• farm-haystack — LLM framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data.
• fast-bert — AI Library using BERT
• jshbtf0302 — State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch
• mw-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• quick-deploy — Quick-Deploy optimize and deploy Machine Learning models as fast inference API.
• shbtf0302 — State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch
• tf-shb-gabriel-0302 — State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch
• transformers — State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow