Instructions to use nnaik39/content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nnaik39/content with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nnaik39/content")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("nnaik39/content") model = AutoModelForCTC.from_pretrained("nnaik39/content", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
model.safetensors
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runs/May23_20-20-06_69b7e9515b01/events.out.tfevents.1716495703.69b7e9515b01.583.3
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