Instructions to use transZ/BART_shared_aug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use transZ/BART_shared_aug with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("transZ/BART_shared_aug", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from transZ/BART_shared_aug: direct link, hf CLI and curl.
- Browser
- Download file 348 Bytes
-
https://huggingface.co/transZ/BART_shared_aug/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://transZ/BART_shared_aug/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/transZ/BART_shared_aug/resolve/main/tokenizer_config.json
348 Bytes
| {"errors": "replace", "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>", "add_prefix_space": false, "trim_offsets": true, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "./shared_aug/", "tokenizer_class": "BartTokenizer"} |