Instructions to use mostafaashahin/fine_tune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mostafaashahin/fine_tune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mostafaashahin/fine_tune")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("mostafaashahin/fine_tune") model = AutoModelForCTC.from_pretrained("mostafaashahin/fine_tune") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6c2e48da7df191f2f9c14e2f0e08e49659d81d490e89231258e717aab6cb254
- Size of remote file:
- 378 MB
- SHA256:
- e0a563414061eaeb2a79e040f0c78c58f266826b95dbf1a342b8f591de70c318
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