Instructions to use smetan/comet-bart-aaai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smetan/comet-bart-aaai with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("smetan/comet-bart-aaai") model = AutoModelForSeq2SeqLM.from_pretrained("smetan/comet-bart-aaai") - Notebooks
- Google Colab
- Kaggle
| license: afl-3.0 | |
| This model has been trained by the original authors of the paper [(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs](https://www.semanticscholar.org/paper/COMET-ATOMIC-2020%3A-On-Symbolic-and-Neural-Knowledge-Hwang-Bhagavatula/f8a22859230e0ccafefc020dccc66b5a646fe0ac) </br> and has been released [here](https://storage.googleapis.com/ai2-mosaic-public/projects/mosaic-kgs/comet-atomic_2020_BART_aaai.tar.gz). | |
| Original codebase for training is [here](https://github.com/allenai/comet-atomic-2020). |