Instructions to use sshleifer/student_enro_avg_12_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/student_enro_avg_12_1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/student_enro_avg_12_1") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/student_enro_avg_12_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d716c458d64ad68a7ec9c666fc72560664d1aaa970e912c998716108146fcc4
- Size of remote file:
- 1.22 GB
- SHA256:
- 7736849e5cbe8b13ce57f24df2e7d4e9676b6865a53fe2aef35940bfe7bd9a40
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