Instructions to use Agrima11/agrima-whisper-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Agrima11/agrima-whisper-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Agrima11/agrima-whisper-final")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Agrima11/agrima-whisper-final") model = AutoModelForSpeechSeq2Seq.from_pretrained("Agrima11/agrima-whisper-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Model tree for Agrima11/agrima-whisper-final
Base model
openai/whisper-small Finetuned
Agrima11/whisper-small-nepali-openslr