Instructions to use MingZhong/unieval-sum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MingZhong/unieval-sum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MingZhong/unieval-sum") model = AutoModelForSeq2SeqLM.from_pretrained("MingZhong/unieval-sum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5a0ca78bb12fdae979f8db4e735dbfb4662acfd6dbe116302d78ca15b76f139
- Size of remote file:
- 3.18 kB
- SHA256:
- 42072d75c9e5fb76d357b163147d09f2987a84a6df6acbb6533e1ce45fe4aeca
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