Instructions to use parthiv11/indic_whisper_hi_multi_gpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use parthiv11/indic_whisper_hi_multi_gpu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="parthiv11/indic_whisper_hi_multi_gpu")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("parthiv11/indic_whisper_hi_multi_gpu") model = AutoModelForSpeechSeq2Seq.from_pretrained("parthiv11/indic_whisper_hi_multi_gpu") - Notebooks
- Google Colab
- Kaggle
facing errors in the simple python script
#3 opened 10 months ago
by
mandarKshirsagar
Unable to install whisper-jax
1
#2 opened about 1 year ago
by
zaka786khan
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot