Instructions to use cahya/bart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cahya/bart-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cahya/bart-base") model = AutoModelForSeq2SeqLM.from_pretrained("cahya/bart-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from cahya/bart-base: direct link, hf CLI and curl.
- Browser
- Download file 360 Bytes
-
https://huggingface.co/cahya/bart-base/resolve/d2fcc5726c052d0d4dc2b3ccf0a5e1ea414c2332/tokenizer_config.json
- Command line
-
hf download hf://cahya/bart-base@d2fcc5726c052d0d4dc2b3ccf0a5e1ea414c2332/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/cahya/bart-base/resolve/d2fcc5726c052d0d4dc2b3ccf0a5e1ea414c2332/tokenizer_config.json
360 Bytes
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "errors": "replace", | |
| "mask_token": "<mask>", | |
| "name_or_path": "./indonesian-bart-base", | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "special_tokens_map_file": null, | |
| "tokenizer_class": "BartTokenizer", | |
| "trim_offsets": true, | |
| "unk_token": "<unk>" | |
| } | |