Instructions to use PaddleCI/tiny-random-uie-m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use PaddleCI/tiny-random-uie-m with paddlenlp:
from paddlenlp.transformers import AutoTokenizer, UIEM tokenizer = AutoTokenizer.from_pretrained("PaddleCI/tiny-random-uie-m", from_hf_hub=True) model = UIEM.from_pretrained("PaddleCI/tiny-random-uie-m", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
| {"do_lower_case": false, "encoding": "utf8", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "model_max_length": 514, "tokenizer_class": "ErnieMTokenizer", "special_tokens_map_file": "/root/.paddlenlp/models/__internal_testing__/tiny-random-uie-m/special_tokens_map.json"} |