Instructions to use trl-lib/llama-7b-se-rl-peft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trl-lib/llama-7b-se-rl-peft with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("trl-lib/llama-7b-se-rl-peft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef827373eb64a2c0fe9cad2d92fd9d3f35add5583f95c679f50ab28c4e9efe93
- Size of remote file:
- 17.5 kB
- SHA256:
- 84ef5d11766acdf820ca5f23eb77373b3091c105845d69b8821af40581ca9c69
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