Transformers
PyTorch
Safetensors
Chinese
t5
text2text-generation
Text2Text Generation
T5
chinese
sentencepiece
text-generation-inference
Instructions to use IDEA-CCNL/Randeng-T5-784M-MultiTask-Chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-CCNL/Randeng-T5-784M-MultiTask-Chinese with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Randeng-T5-784M-MultiTask-Chinese") model = AutoModelForSeq2SeqLM.from_pretrained("IDEA-CCNL/Randeng-T5-784M-MultiTask-Chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 0, "additional_special_tokens": [], "sp_model_kwargs": {}, "name_or_path": "/cognitive_comp/wuxiaojun/pretrained/pytorch/Randeng-T5-784M", "do_lower_case": true, "max_length": 1024, "truncation": true, "special_tokens_map_file": "/cognitive_comp/wuxiaojun/pretrained/pytorch/Randeng-T5-784M/special_tokens_map.json", "tokenizer_class": "T5Tokenizer"} |