Instructions to use PaddleCI/tiny-random-uie-m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use PaddleCI/tiny-random-uie-m with paddlenlp:
from paddlenlp.transformers import AutoTokenizer, UIEM tokenizer = AutoTokenizer.from_pretrained("PaddleCI/tiny-random-uie-m", from_hf_hub=True) model = UIEM.from_pretrained("PaddleCI/tiny-random-uie-m", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f33d91c94072c4cc11ef55e0abdf8b9c78428a8e9b0ee063fb97270c73f3c5f
- Size of remote file:
- 8.03 MB
- SHA256:
- e20f7aff8663a9626c2e07bc3c949278bd9449b22bb0c3da9d0950e521d6516b
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