Instructions to use Jenbenarye/openhermes-dpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jenbenarye/openhermes-dpo with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jenbenarye/openhermes-dpo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4b3bb598956b758d832f3c70b7a857f84c5e2ef466406b3972adace942bd1e2
- Size of remote file:
- 6.93 kB
- SHA256:
- 69166f6f50a42e6bb6fdba4b97f0512ff178bda9a4686dcb03f57149cfec881d
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