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:
- 59e8cd5563832f0e4993c703bdebbeaca7a6017b130cdd8d02618cdef96f81c7
- Size of remote file:
- 1.47 GB
- SHA256:
- 0ee27d1fc2e93a464620e80b3933a1b3bf87191971f921e6f5e2a2dfd0e550d5
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