Instructions to use nguyenthanhdo/ViMath-Llama-3-8B-LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nguyenthanhdo/ViMath-Llama-3-8B-LORA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "nguyenthanhdo/ViMath-Llama-3-8B-LORA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f233a49a37f90f67bbeb164dd93ce54e4e77f371ac1a0b743128bef6e296346b
- Size of remote file:
- 336 MB
- SHA256:
- a6f3a86d1ceb2fcfa7038dfe677e65859f2be1a78cdc2fadbcd2b34866584df5
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