Instructions to use ydshieh/tiny-random-LiltModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ydshieh/tiny-random-LiltModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ydshieh/tiny-random-LiltModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ydshieh/tiny-random-LiltModel") model = AutoModel.from_pretrained("ydshieh/tiny-random-LiltModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22df3a7757beb5aabb3840342bf0a627f750f76b01f1813502a40b7901bba078
- Size of remote file:
- 295 kB
- SHA256:
- cf03feb724b47c2edd30445f74642b39aa9ccbdd387f55dd48ae996a244fb636
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