Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Maithili
whisper
maithili
fine-tuned
speech
audio
indian-languages
devanagari
Eval Results (legacy)
Instructions to use rockerritesh/whisper-tiny-maithili with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rockerritesh/whisper-tiny-maithili with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rockerritesh/whisper-tiny-maithili")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("rockerritesh/whisper-tiny-maithili") model = AutoModelForSpeechSeq2Seq.from_pretrained("rockerritesh/whisper-tiny-maithili") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4598c07c0feef9fd9a1c05a2430ab862267802ddde8f3d104997b831640c1ba
- Size of remote file:
- 5.33 kB
- SHA256:
- 34d3768d5597d6e5a7d63118e80f44059101c56bf60f8f4722ac7e1bcfe7d31f
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