Spaces:
Running
Running
Some questions about the finetuning that done
#3
by
zibib
- opened
Hello,
Thanks for all the great work.
I am trying to explore the world of hebrew ASR, and I have some questions.
I saw in the readme that you wrote that your recommended model is "faster-whisper-v2-d4". (It is a faster_whisper format based on ctranslate2 and not based on the Hugging Face's transformer)
- What is the most similar model that available for Hugging Face's transformer? Are they same (except the file format)?
- How did you train "faster-whisper-v2-d4"? I saw this manual for finetuning Hugging Face's transformers models, and I saw the script ct2-transformers-converter that can convert the transformers model to faster-whisper's format, but I don't know what was the base model for the finetuning, and which dataset has been used for the finetuning. (or maybe the finetuning has been done in entirely different way.)
- https://huggingface.co/ivrit-ai/whisper-v2-d4
- We trained whisper-v2-d4, then converted it using the ct2 converter.
benderrodriguez
changed discussion status to
closed