Instructions to use hf-internal-testing/tiny-deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hf-internal-testing/tiny-deberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-deberta") model = AutoModelForMaskedLM.from_pretrained("hf-internal-testing/tiny-deberta") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
This is a tiny-deberta random model to be used for basic testing.
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