Instructions to use TheRains/output-tiny-id-yt-aug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheRains/output-tiny-id-yt-aug with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheRains/output-tiny-id-yt-aug")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("TheRains/output-tiny-id-yt-aug") model = AutoModelForSpeechSeq2Seq.from_pretrained("TheRains/output-tiny-id-yt-aug", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files
pytorch_model.bin
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runs/May06_11-58-00_dsai-server/events.out.tfevents.1683349087.dsai-server
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