Instructions to use sshleifer/student_pegasus_cnn_12_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/student_pegasus_cnn_12_2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/student_pegasus_cnn_12_2") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/student_pegasus_cnn_12_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 966b7c7ecbe4a0ec8c23e0de87afaacce6a1eaa73f8588f5c7d9ae82c2658f38
- Size of remote file:
- 1.14 GB
- SHA256:
- e9801451fde8af2ad85c377ffb7c8c56575fe26aaa8da2242290788028c95447
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