Instructions to use sshleifer/student_cnn_9_12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/student_cnn_9_12 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/student_cnn_9_12") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/student_cnn_9_12") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb289fe6d84a0ea422e2fffbf334ae3dcdd75e78c61c116b8cafbd010530b3aa
- Size of remote file:
- 1.47 GB
- SHA256:
- f75db6f99fb33a9c57a70ed436e2992ec50fcad259c93fee035e9d8b3b3db896
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