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:
- 679021e3cc01a6e7fffbcfe863ad7e44a8040754093686ba67731bde61da6a4f
- Size of remote file:
- 4.09 kB
- SHA256:
- f6e019532188aeecc0143c9e086523086663938bb6e87ef33d0e29cf9edd106f
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