Instructions to use Siphh/wabLab2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Siphh/wabLab2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Siphh/wabLab2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Siphh/wabLab2") model = AutoModelForSpeechSeq2Seq.from_pretrained("Siphh/wabLab2") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5
Browse files
model.safetensors
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runs/Dec05_10-15-00_a870500c6145/events.out.tfevents.1701771315.a870500c6145.848.2
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training_args.bin
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