Instructions to use sshleifer/student_xsum_6_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/student_xsum_6_6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/student_xsum_6_6") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/student_xsum_6_6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da05928a80c221285f8edfea007faeaafd0a4f38340eab8618a7466ca377053c
- Size of remote file:
- 920 MB
- SHA256:
- f40be0067cb277e86069fbe1b787fefc2fef11a1bdb9e35c7701eafc315f9592
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