Instructions to use evalstate/dpo-test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use evalstate/dpo-test-model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("evalstate/dpo-test-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c4f602b75594332b4fa38a13a399ebae5912a4040cdfb3e672c03a12eaa3d22
- Size of remote file:
- 6.87 kB
- SHA256:
- 9eebe3a1c718405ca2341d27733a309c7c3d392985beba208358f6ae1a8cf450
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