Instructions to use xfbai/AMRBART-large-finetuned-AMR3.0-AMR2Text-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xfbai/AMRBART-large-finetuned-AMR3.0-AMR2Text-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("xfbai/AMRBART-large-finetuned-AMR3.0-AMR2Text-v2") model = AutoModelForSeq2SeqLM.from_pretrained("xfbai/AMRBART-large-finetuned-AMR3.0-AMR2Text-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d3279ac5026389832b6e7d0b6a9ce2b7c410de6f291ee37a31607ada6f8f637
- Size of remote file:
- 1.64 GB
- SHA256:
- aa11e5cdc368ca586a9acf892e2d47202ec502f7641e51240d70eeda3f73dc90
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