Instructions to use hf-internal-testing/tiny-random-EncodecModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-EncodecModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-EncodecModel")# Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("hf-internal-testing/tiny-random-EncodecModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-EncodecModel") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
721e76a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2f6f5e77680f49f4fc9e0e665ccd65e9112ac4e18e2ce681c66f6373e350fbb4
size 93121408
|