bart-large / README.md
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Update README: reflect full mirror (model weights + tokenizer + ONNX)
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metadata
tags:
  - bart
  - mirror
library_name: transformers
license: apache-2.0

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.