Instructions to use oftverse/MetaMathQA_Mistral-7B-v0.1_LORA_ADAPTER_96rank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use oftverse/MetaMathQA_Mistral-7B-v0.1_LORA_ADAPTER_96rank with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "oftverse/MetaMathQA_Mistral-7B-v0.1_LORA_ADAPTER_96rank") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c303a3dc65eaba96ec89a609af0b6929e91956ad6745e63c1bc05dd671156bb5
- Size of remote file:
- 6.65 kB
- SHA256:
- 071ae0245738163af6875cea21c312f0fc38ed7c15e3f24b4200e9a803cfb07f
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