Automatic Speech Recognition
Transformers
Idu-Mishmi
wav2vec2
audio
speech
ctc
mms
low-resource
idu-mishmi
Eval Results (legacy)
Instructions to use sulabhkatiyar/ne-asr-clk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sulabhkatiyar/ne-asr-clk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sulabhkatiyar/ne-asr-clk")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("sulabhkatiyar/ne-asr-clk") model = AutoModelForCTC.from_pretrained("sulabhkatiyar/ne-asr-clk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K