Instructions to use Jenbenarye/openhermes-dpo-adverserial-0.75 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jenbenarye/openhermes-dpo-adverserial-0.75 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jenbenarye/openhermes-dpo-adverserial-0.75", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Jenbenarye/openhermes-dpo-adverserial-0.75: direct link, hf CLI and curl.
- Browser
- Download file 6.99 kB
-
https://huggingface.co/Jenbenarye/openhermes-dpo-adverserial-0.75/resolve/main/training_args.bin
- Command line
-
hf download hf://Jenbenarye/openhermes-dpo-adverserial-0.75/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Jenbenarye/openhermes-dpo-adverserial-0.75/resolve/main/training_args.bin
6.99 kB
- Xet hash:
- 4eab248cb58172374ec955cb61727c2d7af5abd81b60a91c58f65c39f1a9dc8f
- Size of remote file:
- 6.99 kB
- SHA256:
- 863edd5059c4b04ff1d59f122b448057a113cf952b5533152c29c455462fdfc7
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