Instructions to use minjibi/test1000v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minjibi/test1000v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="minjibi/test1000v2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("minjibi/test1000v2") model = AutoModelForCTC.from_pretrained("minjibi/test1000v2") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 200
Browse files
pytorch_model.bin
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runs/Oct05_18-00-06_5e0e97ad45ef/events.out.tfevents.1664992869.5e0e97ad45ef.65.0
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