Instructions to use TheRains/output-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheRains/output-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheRains/output-medium")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("TheRains/output-medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("TheRains/output-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 200
Browse files- pytorch_model.bin +1 -1
- runs/Apr19_03-44-45_dsai-server/events.out.tfevents.1681850691.dsai-server +2 -2
- runs/Apr19_20-30-17_dsai-server/1681911024.165434/events.out.tfevents.1681911024.dsai-server +3 -0
- runs/Apr19_20-30-17_dsai-server/events.out.tfevents.1681911024.dsai-server +3 -0
- runs/Apr19_22-47-14_dsai-server/1681919240.8551228/events.out.tfevents.1681919240.dsai-server +3 -0
- runs/Apr19_22-47-14_dsai-server/events.out.tfevents.1681919240.dsai-server +3 -0
- training_args.bin +1 -1
pytorch_model.bin
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