Automatic Speech Recognition
Transformers
Safetensors
Bhojpuri
Hindi
whisper
bhojpuri
indic
low-resource
Eval Results (legacy)
Instructions to use Aditya109/whisper-small-bhojpuri-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aditya109/whisper-small-bhojpuri-merged with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Aditya109/whisper-small-bhojpuri-merged")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Aditya109/whisper-small-bhojpuri-merged") model = AutoModelForSpeechSeq2Seq.from_pretrained("Aditya109/whisper-small-bhojpuri-merged", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
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