Instructions to use ROGRANMAR/output_dir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ROGRANMAR/output_dir with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ROGRANMAR/output_dir")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ROGRANMAR/output_dir") model = AutoModelForSpeechSeq2Seq.from_pretrained("ROGRANMAR/output_dir", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 40
Browse files
runs/Apr21_22-19-06_5e6eacbcb301/events.out.tfevents.1682115953.5e6eacbcb301.5922.0
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