Instructions to use DazMashaly/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DazMashaly/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DazMashaly/output")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("DazMashaly/output") model = AutoModelForSpeechSeq2Seq.from_pretrained("DazMashaly/output") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
model.safetensors
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runs/Jun24_04-00-09_8216831c5b7d/events.out.tfevents.1719201634.8216831c5b7d.34.0
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training_args.bin
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