Instructions to use krishan23/whisper_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krishan23/whisper_train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="krishan23/whisper_train")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("krishan23/whisper_train") model = AutoModelForSpeechSeq2Seq.from_pretrained("krishan23/whisper_train") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 11000
Browse files
model.safetensors
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runs/Apr25_10-42-49_ai-matrix-train/events.out.tfevents.1714041771.ai-matrix-train.136809.0
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