Automatic Speech Recognition
Transformers
NeMo
Safetensors
indic_canary
feature-extraction
speech
audio
asr
multilingual
indic
code-switching
code-mixing
language-identification
canary
fastconformer
custom_code
Instructions to use bodhan-ai/indic-transcribe-core with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bodhan-ai/indic-transcribe-core with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bodhan-ai/indic-transcribe-core", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bodhan-ai/indic-transcribe-core", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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