Instructions to use sshleifer/student_xsum_12_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/student_xsum_12_6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/student_xsum_12_6") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/student_xsum_12_6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdf2c19838fc90a275300721df167d681a65c1307e1c80ec2dae8d673e0e16c9
- Size of remote file:
- 1.22 GB
- SHA256:
- 0ad0fde4f95dc746e469b647fbe4a14376c2c968612b3973098ff00ea0d68257
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