Instructions to use lexlms/legal-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lexlms/legal-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lexlms/legal-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lexlms/legal-roberta-large") model = AutoModelForMaskedLM.from_pretrained("lexlms/legal-roberta-large") - Notebooks
- Google Colab
- Kaggle
File size: 383 Bytes
0558c86 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"bos_token": "<s>",
"cls_token": "<s>",
"eos_token": "</s>",
"mask_token": "<mask>",
"model_max_length": 512,
"name_or_path": "data/PLMs/lex-lm-large-cased-v2",
"pad_token": "<pad>",
"sep_token": "</s>",
"special_tokens_map_file": "data/PLMs/lex-lm-large-cased-v2/special_tokens_map.json",
"tokenizer_class": "PreTrainedTokenizerFast",
"unk_token": "<unk>"
}
|