Instructions to use VictorDCh/Llama-3-8B-Instruct-MoE-2-spider-3.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VictorDCh/Llama-3-8B-Instruct-MoE-2-spider-3.2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("VictorDCh/Llama-3-8B-Instruct-MoE-2") model = PeftModel.from_pretrained(base_model, "VictorDCh/Llama-3-8B-Instruct-MoE-2-spider-3.2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 335a8fcb6584d61201137b5c7ab72ce080b7d3c0c0c371c54e5240a50ce7ac27
- Size of remote file:
- 4.73 kB
- SHA256:
- 1514ff73eb3df69e48dcc6df492d3225ab690637d796bc244f353558415bdedc
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