Instructions to use sshleifer/student_cnn_6_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/student_cnn_6_6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/student_cnn_6_6") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/student_cnn_6_6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcdaf2f973f5e14378476f9c3aaf49511adf4d497b6c5db3b16c579125b69490
- Size of remote file:
- 920 MB
- SHA256:
- 9fa82aae33fb2b177d8f3dfcda48a780a8394a8628069852806ca5adf7eee78a
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