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:
- 44fd84d1f4c8172dc55214168669f53e3274e8f5142b165c20a2ec257f2a4619
- Size of remote file:
- 502 kB
- SHA256:
- 152378f79251005eed18931ec61f6c8364235eaa083f138150de41a9ec332835
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