Instructions to use ClueAI/PromptCLUE-base-paddle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use ClueAI/PromptCLUE-base-paddle with paddlenlp:
from paddlenlp.transformers import AutoTokenizer, T5ForConditionalGeneration tokenizer = AutoTokenizer.from_pretrained("ClueAI/PromptCLUE-base-paddle", from_hf_hub=True) model = T5ForConditionalGeneration.from_pretrained("ClueAI/PromptCLUE-base-paddle", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,4 +1,5 @@
|
|
| 1 |
---
|
| 2 |
library_name: paddlenlp
|
| 3 |
---
|
| 4 |
-
# ClueAI/PromptCLUE-base-paddle
|
|
|
|
|
|
| 1 |
---
|
| 2 |
library_name: paddlenlp
|
| 3 |
---
|
| 4 |
+
# ClueAI/PromptCLUE-base-paddle
|
| 5 |
+
这个模型是PromptCLUE-base适应Paddlenlp转化得到的模型,支持通过paddlenlp加载。功能与PromptCLUE-base一致,同样基于1000亿token中文语料上预训练,累计学习1.5万亿中文token,并且在数百种任务上进行Prompt任务式训练。针对理解类任务,如分类、情感分析、抽取等,可以自定义标签体系;针对多种生成任务,可以进行采样自由生成。
|