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:
- 1dce3a38c23b75278a662babc5333969df113c7c6b0bac943d4cf54c33bffc69
- Size of remote file:
- 729 kB
- SHA256:
- c345d967b58c8ff9a1fbd602b93c4632beadb50b73a00902f55b9d27c83fe5d8
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