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:
- 089a01f740f14f6e85424c96b051d09df64569d8767c5da160203fb0fa4c9ea6
- Size of remote file:
- 5.3 kB
- SHA256:
- e1fe0c9e466f2d9b3b621976440ce0b7c516c6f60ad8430109d3061dff162d2f
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