Instructions to use sshleifer/student_xsum_6_12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/student_xsum_6_12 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/student_xsum_6_12") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/student_xsum_6_12") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1645323444d2ffaf853e5d08ebdcd0f953ef65543f956c4738cf56fdd9c5b602
- Size of remote file:
- 1.32 GB
- SHA256:
- e336c1718ec5971d7bfa34c5c6c50cf5aa622746fc8b057747c2685d37ca9e9b
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