Instructions to use Isma/some_cool_project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Isma/some_cool_project with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Isma/some_cool_project")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Isma/some_cool_project") model = AutoModelForCTC.from_pretrained("Isma/some_cool_project") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
pytorch_model.bin
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runs/Mar21_18-35-36_52a997bbf3c7/events.out.tfevents.1679423930.52a997bbf3c7.412.0
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