* wav2vec2: support datasets other than LibriSpeech * Formatting run_asr.py to pass code quality test * bundled orthography options and added verbose logs * fixing a typo in timit fine-tuning script * update comment for clarity * resize_lm_head and load custom vocab from file * adding a max_duration_in_seconds filter * do not assign `duration_filter` lambda, use a def * log untransliterated text as well * fix base model for arabic * fix duration filter when target_sr is not set * drop duration_in_seconds when unneeded * script for wav2vec2-large-lv60-timit-asr * fix for "tha" in arabic corpus (huggingface#10581) * adding more options to work with common_voice * PR feedback (huggingface#10581) * small README change
Research projects
This folder contains various research projects using 🤗 Transformers. They are not maintained and require a specific version of 🤗 Transformers that is indicated in the requirements file of each folder. Updating them to the most recent version of the library will require some work.
To use any of them, just run the command
pip install -r requirements.txt
inside the folder of your choice.
If you need help with any of those, contact the author(s), indicated at the top of the README of each folder.