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:
- 18ef3b6cdd82de8b49b6c93260dc0db1abe6305effddd8959224776800e554ee
- Size of remote file:
- 4.22 kB
- SHA256:
- 556fa8dfe981462b10631e9b3c7e59ebd05e40d900f14fe7a498c9bfd738dde0
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