Instructions to use yali98/x_sum_lambda1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yali98/x_sum_lambda1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("yali98/x_sum_lambda1") model = AutoModel.from_pretrained("yali98/x_sum_lambda1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d732f87e4016bc53c10304a3c573a4c38aac813ead0f2e8788e3cbeac230654f
- Size of remote file:
- 1.63 GB
- SHA256:
- 286d4ef5c37e4a7b5e657f28ade41e464889685b75b1636623e12a4fb89cf2f7
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