Instructions to use DazMashaly/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DazMashaly/checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DazMashaly/checkpoints")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("DazMashaly/checkpoints") model = AutoModelForSpeechSeq2Seq.from_pretrained("DazMashaly/checkpoints") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12d56de9cc7e949b5151e880238875165db1d5b979a29a1b1fa301373684b10b
- Size of remote file:
- 5.3 kB
- SHA256:
- 03eb3cf1f23e8ad59cebc1ebf99c8a9f327a4c4e80a98d564deed0f412906301
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