Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Assamese
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use kpriyanshu256/whisper-medium-as-200-32-1e-05-bn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kpriyanshu256/whisper-medium-as-200-32-1e-05-bn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kpriyanshu256/whisper-medium-as-200-32-1e-05-bn")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("kpriyanshu256/whisper-medium-as-200-32-1e-05-bn") model = AutoModelForMultimodalLM.from_pretrained("kpriyanshu256/whisper-medium-as-200-32-1e-05-bn") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened over 1 year ago
by
SFconvertbot