Instructions to use shtapm/output_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shtapm/output_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="shtapm/output_large")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("shtapm/output_large") model = AutoModelForSpeechSeq2Seq.from_pretrained("shtapm/output_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 10
Browse files
runs/Apr10_09-15-23_4e83c3b9fc52/events.out.tfevents.1712740563.4e83c3b9fc52.23139.0
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