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:
- 27b18150ac1669bea63587866ec5c535e63b3cf6528a132ccf9fe975e3224e96
- Size of remote file:
- 1.63 GB
- SHA256:
- e7e88f0d24071c928cd505799a2d35cea3b9b01153b065cda67e20d0b9788c49
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