Instructions to use hanbin/MaMaL-Sum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hanbin/MaMaL-Sum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hanbin/MaMaL-Sum") model = AutoModelForSeq2SeqLM.from_pretrained("hanbin/MaMaL-Sum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c0e75f944ea1992f86cd18d43dd278b814bf833e16d84a26238e02fa7581c8c
- Size of remote file:
- 892 MB
- SHA256:
- 47fc0a31522838fa0ebb4fbe1b94874531c3174a6fac0654aea4431a1123b07f
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