Instructions to use ngohuudang/test_bug2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ngohuudang/test_bug2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ngohuudang/test_bug2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ngohuudang/test_bug2") model = AutoModelForCTC.from_pretrained("ngohuudang/test_bug2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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1
Parent(s): a31a776
Training in progress, step 650
Browse files
pytorch_model.bin
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