Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Malayalam
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use sgangireddy/whisper-small-ml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgangireddy/whisper-small-ml with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sgangireddy/whisper-small-ml")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sgangireddy/whisper-small-ml") model = AutoModelForSpeechSeq2Seq.from_pretrained("sgangireddy/whisper-small-ml") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 37.001, | |
| "eval_loss": 0.5906396508216858, | |
| "eval_runtime": 50.3664, | |
| "eval_samples_per_second": 2.224, | |
| "eval_steps_per_second": 0.278, | |
| "eval_wer": 38.88888888888889 | |
| } |