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 tokenizer.json from GuysTrans/bart-base-re-attention: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/GuysTrans/bart-base-re-attention/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://GuysTrans/bart-base-re-attention@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/GuysTrans/bart-base-re-attention/resolve/refs%2Fpr%2F1/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.