Instructions to use law-ai/InLegalBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use law-ai/InLegalBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="law-ai/InLegalBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("law-ai/InLegalBERT") model = AutoModelForPreTraining.from_pretrained("law-ai/InLegalBERT") - Inference
- Notebooks
- Google Colab
- Kaggle
| {"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": "Cache/1ec992491addc8a43e9196bea3ccaf98f3958ce101f111ba9096813cf1ab493c.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "name_or_path": "nlpaueb/legal-bert-base-uncased", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"} |