Instructions to use mmtg/train-test-valid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mmtg/train-test-valid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mmtg/train-test-valid")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mmtg/train-test-valid") model = AutoModelForSpeechSeq2Seq.from_pretrained("mmtg/train-test-valid", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50161ef8fa5ddb383e9d55d0b1559e361458e3372a48971c953b0014705b9563
- Size of remote file:
- 5.24 kB
- SHA256:
- bcdabdde4c7733245aad4b75ea0d3dad321f6db1ac0a1cd97ce0e2f3b5acdbd2
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