| tags: | |
| - bart | |
| - mirror | |
| library_name: transformers | |
| license: apache-2.0 | |
| # BART-large (full mirror) | |
| Full mirror of [facebook/bart-large](https://huggingface.co/facebook/bart-large) — includes model weights (`pytorch_model.bin`, ~971 MB), tokenizer files, config. | |
| Mirrored via `huggingface_hub.snapshot_download` for archival; identical to the upstream snapshot at mirror time. | |
| ## Usage | |
| ```python | |
| from transformers import AutoModel, AutoTokenizer | |
| model = AutoModel.from_pretrained("arrow-hf/bart-large") | |
| tokenizer = AutoTokenizer.from_pretrained("arrow-hf/bart-large") | |
| ``` | |
| ## Related | |
| The tokenizer is used by [arrow-hf/xvla-robotwin-stack-bowls-two-40pct](https://huggingface.co/arrow-hf/xvla-robotwin-stack-bowls-two-40pct) (max_length=50). The X-VLA model uses the BART tokenizer vocabulary; the Florence2 vision-language backbone has its own learned weights and does not load BART's weights directly. | |