Instructions to use hf-internal-testing/tiny-random-ASTModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ASTModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-ASTModel")# Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("hf-internal-testing/tiny-random-ASTModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-ASTModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57afa442c585f0b247d895d2cc6b2a9fa11c6f1a667a094aa40b81478c2f22d6
- Size of remote file:
- 177 kB
- SHA256:
- 81e4ef50c7d734b080ea73bf44d543b520f9caa675b58f59f77bfa256ca47bb3
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