Instructions to use nyralabs/CrisperWhisper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nyralabs/CrisperWhisper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nyralabs/CrisperWhisper")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nyralabs/CrisperWhisper") model = AutoModelForSpeechSeq2Seq.from_pretrained("nyralabs/CrisperWhisper") - Notebooks
- Google Colab
- Kaggle
How do we use with cli?
#1
by MonsterMMORPG - opened
Normally this is how i use
string srCommand = @$"cmd /c {gpuIdCommand}whisper ""{srExtractMp3Name}"" --model large-v1 --language en --initial_prompt ""Welcome to our Youtube channel."" --best_of 10 --beam_size 10 --patience 10 --output_dir ""{srFileDirectory}""";
so how can i use this fine tuned model?
like ? --model fullpath
how do i give config json?