Instructions to use sshleifer/student_cnn_12_9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/student_cnn_12_9 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/student_cnn_12_9") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/student_cnn_12_9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a124be343fde5e14990db732d273e1efc8812e7d6af8a9575d368610fdd69c7
- Size of remote file:
- 1.42 GB
- SHA256:
- 24f297b1e9bc25196e5e3e9ae999c4aa87e273aaab9ddc2bf7264256f78b0efd
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