Instructions to use PaddleCI/tiny-random-plato-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use PaddleCI/tiny-random-plato-mini with paddlenlp:
from paddlenlp.transformers import AutoTokenizer, UnifiedTransformerLMHeadModel tokenizer = AutoTokenizer.from_pretrained("PaddleCI/tiny-random-plato-mini", from_hf_hub=True) model = UnifiedTransformerLMHeadModel.from_pretrained("PaddleCI/tiny-random-plato-mini", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5504cee6a9f79b65897f864b8fa15fb26fe188c86e2c9394d0ae5868a2f6884
- Size of remote file:
- 2.07 MB
- SHA256:
- d0029526fdd02bbe12ebe8ad5471b883a62151fd9543c59d4620130ce17d9aac
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