Instructions to use phucd/ko-better-old with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phucd/ko-better-old with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="phucd/ko-better-old")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("phucd/ko-better-old") model = AutoModelForSpeechSeq2Seq.from_pretrained("phucd/ko-better-old") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4000
Browse files
model.safetensors
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runs/Dec17_00-44-57_r104u22n01.mccleary.ycrc.yale.edu/events.out.tfevents.1702791900.r104u22n01.mccleary.ycrc.yale.edu
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