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
- Xet hash:
- debbd9e9ae12ee3520ab48a7a8a55d96b4747608330ddc8bb042dd5a6480e6ee
- Size of remote file:
- 408 kB
- SHA256:
- 5f071626d5c3781b98f722d52a8e7f1ae7e0df341123f3e764fdf4798d8ca59f
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