Instructions to use joelniklaus/legal-polish-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joelniklaus/legal-polish-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="joelniklaus/legal-polish-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("joelniklaus/legal-polish-roberta-base") model = AutoModelForMaskedLM.from_pretrained("joelniklaus/legal-polish-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from joelniklaus/legal-polish-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 395 Bytes
-
https://huggingface.co/joelniklaus/legal-polish-roberta-base/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://joelniklaus/legal-polish-roberta-base/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/joelniklaus/legal-polish-roberta-base/resolve/main/tokenizer_config.json
395 Bytes
| { | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": "<mask>", | |
| "model_max_length": 512, | |
| "name_or_path": "data/plms/legal-polish-roberta-base", | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "special_tokens_map_file": "data/plms/legal-polish-roberta-base_32k/special_tokens_map.json", | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "unk_token": "<unk>" | |
| } | |