Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use rishabhjain16/whisper_l2_to_kaggle_sq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rishabhjain16/whisper_l2_to_kaggle_sq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rishabhjain16/whisper_l2_to_kaggle_sq")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("rishabhjain16/whisper_l2_to_kaggle_sq") model = AutoModelForSpeechSeq2Seq.from_pretrained("rishabhjain16/whisper_l2_to_kaggle_sq", device_map="auto") - Notebooks
- Google Colab
- Kaggle