Instructions to use sshleifer/student_enro_avg_12_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/student_enro_avg_12_2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/student_enro_avg_12_2") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/student_enro_avg_12_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 198fc9fbc14c2a4a69521bf964f87be7b8bbed2ff20d1caba4d3dcc2dbc3204c
- Size of remote file:
- 1.22 GB
- SHA256:
- 3b315c990216b7bbab6019a8428758534c3a76053ecb4833728d036b7656b439
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