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:
- f7aaffdb1e778d1fdf2b4ecaaee679f6c063f1222c5d61d93d990649882a5634
- Size of remote file:
- 1.63 GB
- SHA256:
- c0ff77107bbfcb9e2b7b94802292bcb7cccf69ae0a4cb681846aa828e38e7e67
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