Instructions to use Rzoro/checkpoints_3_12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rzoro/checkpoints_3_12 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("Rzoro/checkpoints_3_12") model = AutoModelForMultipleChoice.from_pretrained("Rzoro/checkpoints_3_12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4db10ab707a702ce11119d0fab78f0f6f0108a0ca96d49a7bfd3d3d29d5adf11
- Size of remote file:
- 1.74 GB
- SHA256:
- bc5eeb7dce96ca13d492f301c6b04d7e77e031615aeaf034cb7b7d1c1a517bf8
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