BART-large (full mirror)

Full mirror of 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

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 (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.