Instructions to use xfbai/AMRBART-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xfbai/AMRBART-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("xfbai/AMRBART-base") model = AutoModelForSeq2SeqLM.from_pretrained("xfbai/AMRBART-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e4a0aa0aaf3225addc1f846d5d8f2e3222af1f4ee1c981c919a5689add01b10
- Size of remote file:
- 569 MB
- SHA256:
- 1b1a8f1e31447da55fd94dfab8180022a4b4973e51929f65a46249b8756821bd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.