Instructions to use cdactvm/w2v-bert-kannada_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cdactvm/w2v-bert-kannada_new with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cdactvm/w2v-bert-kannada_new")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("cdactvm/w2v-bert-kannada_new") model = AutoModelForCTC.from_pretrained("cdactvm/w2v-bert-kannada_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 22000
Browse files
model.safetensors
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runs/Dec17_16-22-30_GPU/events.out.tfevents.1734434610.GPU.1762795.0
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