Instructions to use ymlee/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ymlee/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ymlee/test")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ymlee/test") model = AutoModelForSpeechSeq2Seq.from_pretrained("ymlee/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f34eeba429009e6cd13b3cd347ec9893c742bddb5f7b90774fb641903138494f
- Size of remote file:
- 967 MB
- SHA256:
- 5c60b1513f11a3ca94f1ef9d8052567d9e67c7425f62ac18301a6ff676109422
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