Instructions to use ClueAI/PromptCLUE-base-v1-5-paddle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use ClueAI/PromptCLUE-base-v1-5-paddle with paddlenlp:
from paddlenlp.transformers import AutoTokenizer, T5ForConditionalGeneration tokenizer = AutoTokenizer.from_pretrained("ClueAI/PromptCLUE-base-v1-5-paddle", from_hf_hub=True) model = T5ForConditionalGeneration.from_pretrained("ClueAI/PromptCLUE-base-v1-5-paddle", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00c42830367b99020d411be532ad304b28e89628d7ac0e393b2a7ce6c44b3b0d
- Size of remote file:
- 1.19 GB
- SHA256:
- 37e904e95dbda8ebf1d5a15f5b66c84f1c45c6ffcc8ea0c4212de067729922b2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.