Instructions to use casehold/custom-legalbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use casehold/custom-legalbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="casehold/custom-legalbert")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("casehold/custom-legalbert", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from casehold/custom-legalbert: direct link, hf CLI and curl.
- Browser
- Download file 307 Bytes
-
https://huggingface.co/casehold/custom-legalbert/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://casehold/custom-legalbert/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/casehold/custom-legalbert/resolve/main/tokenizer_config.json
307 Bytes
| {"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, "special_tokens_map_file": null, "name_or_path": "custom_legalbert", "do_basic_tokenize": true, "never_split": null} |