Instructions to use HariprasathSB/whisper_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HariprasathSB/whisper_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="HariprasathSB/whisper_final")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("HariprasathSB/whisper_final") model = AutoModelForSpeechSeq2Seq.from_pretrained("HariprasathSB/whisper_final") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1500
Browse files
model.safetensors
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runs/May10_17-06-50_32e12e3a89ba/events.out.tfevents.1715360885.32e12e3a89ba.1417.0
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