Instructions to use mkbackup/final_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mkbackup/final_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mkbackup/final_model")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mkbackup/final_model") model = AutoModelForSpeechSeq2Seq.from_pretrained("mkbackup/final_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files
model.safetensors
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runs/Dec06_12-13-39_69c33c1eab28/events.out.tfevents.1701864886.69c33c1eab28.4022.0
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