Instructions to use Chaeeun-Kim/L_pretrain_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chaeeun-Kim/L_pretrain_large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Chaeeun-Kim/L_pretrain_large") model = AutoModelForSeq2SeqLM.from_pretrained("Chaeeun-Kim/L_pretrain_large") - Notebooks
- Google Colab
- Kaggle
| { | |
| "additional_special_tokens": [ | |
| "<casename>", | |
| "<plaintiff_attorney>", | |
| "<defense_attorney>", | |
| "<fact>", | |
| "<reasoning>", | |
| "<conclusion>", | |
| "<title>", | |
| "<subtitle>", | |
| "<criminal_law>", | |
| "<law>", | |
| "<criminal_reason>", | |
| "<claim>", | |
| "<order>" | |
| ], | |
| "eos_token": "</s>", | |
| "pad_token": "<pad>", | |
| "unk_token": "<unk>" | |
| } | |