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
- Xet hash:
- 47d6bec9519925cd478efbdddfc85d582ebebb8219814f0d90dceabc928189e5
- Size of remote file:
- 1.42 GB
- SHA256:
- 12a17022862b56c7360dd19c357628ce54e63e01c582560ad430fe50d79bb1ad
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