Instructions to use GuysTrans/bart-base-re-attention with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GuysTrans/bart-base-re-attention with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("GuysTrans/bart-base-re-attention") model = AutoModelForSeq2SeqLM.from_pretrained("GuysTrans/bart-base-re-attention", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from GuysTrans/bart-base-re-attention: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/GuysTrans/bart-base-re-attention/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://GuysTrans/bart-base-re-attention@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/GuysTrans/bart-base-re-attention/resolve/refs%2Fpr%2F1/pytorch_model.bin
558 MB
- Xet hash:
- 55e1288fac2055d0e49b323290a939d7c8904bbdba9115fa6b73db235b2bee7f
- Size of remote file:
- 558 MB
- SHA256:
- 73f4d5521682bc2ad3b2418e3d2bbc729a47737527b6a4842b9f66020319292e
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