Instructions to use ppparkker/for_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ppparkker/for_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ppparkker/for_test", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ppparkker/for_test", trust_remote_code=True) model = AutoModelForCTC.from_pretrained("ppparkker/for_test", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
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