Instructions to use sshleifer/student_cnn_12_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/student_cnn_12_1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/student_cnn_12_1") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/student_cnn_12_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a2750d21ccb9203127ccf0c26f9d6915f107db734ed6b54f2e77b08e96657b8
- Size of remote file:
- 886 MB
- SHA256:
- c0eb68360ca7aa3c599a83f4635e9a3ad8d2ce715efbc1185a55f5e69503836d
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