Automatic Speech Recognition
Transformers
JAX
TensorBoard
Safetensors
Nepali
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use kiranpantha/whisper-tiny-ne with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kiranpantha/whisper-tiny-ne with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kiranpantha/whisper-tiny-ne")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kiranpantha/whisper-tiny-ne") model = AutoModelForSpeechSeq2Seq.from_pretrained("kiranpantha/whisper-tiny-ne") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdcfe9e5d3bdcd8ec6661969392fb28ad5ffa2f428d7f91b6ee4fe66dce48564
- Size of remote file:
- 151 MB
- SHA256:
- ce9c83ca7ae0fb36b4ed81067bc66f19a8ca410a0ed93e11797889b8991f908c
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