Instructions to use sshleifer/student_xsum_12_9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/student_xsum_12_9 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/student_xsum_12_9") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/student_xsum_12_9") - 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:d1b426192f17158ce6e7de95bb54f64e4554abc4aab20d36a31507c217e7f42c
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size 1423894116
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