Instructions to use bezzam/xcodec2-processor-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bezzam/xcodec2-processor-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bezzam/xcodec2-processor-test")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("bezzam/xcodec2-processor-test") model = AutoModel.from_pretrained("bezzam/xcodec2-processor-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc15498859a8178dff862b2f2e36910a243a8692dbc1ecab04f9935b758c65eb
- Size of remote file:
- 2.32 GB
- SHA256:
- eb890c9660ed6e3414b6812e27257b8ce5454365d5490d3ad581ea60b93be043
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