Instructions to use SummerSigh/Bart-Large-Rule-Of-Thumb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SummerSigh/Bart-Large-Rule-Of-Thumb with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SummerSigh/Bart-Large-Rule-Of-Thumb") model = AutoModelForSeq2SeqLM.from_pretrained("SummerSigh/Bart-Large-Rule-Of-Thumb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 515acfb9dc3c0ecc6ae6062a917c5029c5758e02c72fa5fb558e3e9f7f9a3a8d
- Size of remote file:
- 1.63 GB
- SHA256:
- ca2a34ffff159b772130a341b58919fa90bfcc312967b427711ff56fdb55270c
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