Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Malayalam
whisper
malayalam
indic-asr
fine-tuned
Instructions to use adalat-ai/whisper-medium-ml-rmft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adalat-ai/whisper-medium-ml-rmft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="adalat-ai/whisper-medium-ml-rmft")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("adalat-ai/whisper-medium-ml-rmft") model = AutoModelForSpeechSeq2Seq.from_pretrained("adalat-ai/whisper-medium-ml-rmft") - Notebooks
- Google Colab
- Kaggle
File size: 2,885 Bytes
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