Instructions to use yali98/xsum_lineared_lambda5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yali98/xsum_lineared_lambda5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("yali98/xsum_lineared_lambda5") model = AutoModel.from_pretrained("yali98/xsum_lineared_lambda5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b7dd2467f52f1f02412cab92c7dd7a89c4198df04944b1ef64ea0fd77e4f886
- Size of remote file:
- 4.22 kB
- SHA256:
- 3c4d50be1afe61639f037c27db50b927c3d789a79a5d7a16a19db683432fd757
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