Instructions to use xfbai/AMRBART-large-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xfbai/AMRBART-large-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("xfbai/AMRBART-large-v2") model = AutoModelForSeq2SeqLM.from_pretrained("xfbai/AMRBART-large-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af16dca5ea6c9df2bc9a25b83f20b04a06bf7454dd78f4a914b4bda491af323d
- Size of remote file:
- 1.64 GB
- SHA256:
- 1099081330a746e9afba599fe2c6c044785f14e872eda4a915dd23958dca4197
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