Instructions to use sshleifer/student_xsum_12_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/student_xsum_12_4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/student_xsum_12_4") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/student_xsum_12_4") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9fdd83109a9c2bebb4baa73e8bf6c419c9b89e9760e5b16c352e88fbb1302f99
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size 1087932871
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