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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.
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