Instructions to use yali98/samsum_lineared_lambda5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yali98/samsum_lineared_lambda5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("yali98/samsum_lineared_lambda5") model = AutoModel.from_pretrained("yali98/samsum_lineared_lambda5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b10ba3aa607fd00a837198c55c14ef4efdbd8c253596e3037ffd2af415aea0ef
- Size of remote file:
- 4.22 kB
- SHA256:
- ccaf7a242d9b8c2c27a94961c130359eb966e079dc935724776aa9bc515d027b
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