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
- Xet hash:
- e65c231c61c82eef3540d44e4b9268de24f6b58d6367001a68d799081bc2888c
- Size of remote file:
- 5.97 kB
- SHA256:
- 744e99a0696d2ec63b9895a339944a4bc978df035e7bf2383b8679a6ba031f9a
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