Instructions to use hf-internal-testing/tiny-random-deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-deberta")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-deberta") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-deberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a30254dd78c769120e03b86eb703212cbfa537f32b6c2a9d1b9eab26912d1f2
- Size of remote file:
- 14.6 MB
- SHA256:
- f62ebe1cc4296d83ca11d1ec35fd2ac480e6e1f7d98f9b6bd1ee4f7492fec68d
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