Instructions to use JSWOOK/finetuning_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JSWOOK/finetuning_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JSWOOK/finetuning_model")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("JSWOOK/finetuning_model") model = AutoModelForSpeechSeq2Seq.from_pretrained("JSWOOK/finetuning_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fefa166533e160fc73a11473799725742ca8a4cfe5581f9910c36091f097fcb4
- Size of remote file:
- 3.24 GB
- SHA256:
- eca700a721881a3f23e9a9c4e34a9eaf784007bdc687339124046bd544d76154
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