Instructions to use sshleifer/student_xsum_12_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/student_xsum_12_3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/student_xsum_12_3") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/student_xsum_12_3") - 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 sha256:1679b64a35f24a551fd86f7fb0e07b57ef4bc33f26bc2e47dfe54f508695974c
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size 1020740622
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