Instructions to use huydt/large_config with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huydt/large_config with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="huydt/large_config")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("huydt/large_config") model = AutoModelForSpeechSeq2Seq.from_pretrained("huydt/large_config") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30455f254e1ceab4346a70aaf8efa6d59f75afc27bbabe90047efd7c1c51545b
- Size of remote file:
- 3.64 kB
- SHA256:
- 7d1464aac96f721f40db3d36d203b6f26fc5e69118a92d809e39daac77aca9cb
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