Instructions to use CodeIsAbstract/denoice-finetuned-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/denoice-finetuned-xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CodeIsAbstract/denoice-finetuned-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("CodeIsAbstract/denoice-finetuned-xsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a623aa5b006d9a96e9553db8f13b01d49c7289c1f3a777daacf1990c4cabf7b
- Size of remote file:
- 62.3 MB
- SHA256:
- f1d249a26095f7a20e73f2a041132ee9106846f5e510d88932d574dbf481e381
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