Instructions to use yali98/xsum_lambda5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yali98/xsum_lambda5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("yali98/xsum_lambda5") model = AutoModel.from_pretrained("yali98/xsum_lambda5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da59c78342b4594ea42c90cfd95a73effc9a51fc81388261fbefe5d359f0cb18
- Size of remote file:
- 1.63 GB
- SHA256:
- 7d64149f32ed287b3871966414f3df129dc820e0e290645649b33243ec126b88
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