Instructions to use cogsci13/meta-Llama-3.1-8B-Instruct-gsm8k-grpo-lora-adaptor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cogsci13/meta-Llama-3.1-8B-Instruct-gsm8k-grpo-lora-adaptor with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cogsci13/meta-Llama-3.1-8B-Instruct-gsm8k-grpo-lora-adaptor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- cbaaa67f63e40abea47181c79f23b9de24718cbcbad77668e2cf7c0f407d9f5a
- Size of remote file:
- 17.2 MB
- SHA256:
- a65c6c5f9764771aa485e6a1f5e63d7d9af8477fe0777148c17476ecb2e09a05
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