Instructions to use aisha44/mistral_instructv3_2_KQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aisha44/mistral_instructv3_2_KQL with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "aisha44/mistral_instructv3_2_KQL") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1799ca50bddd0151b33b1b78592a02f43959756f5128574960fa146a79f6e41f
- Size of remote file:
- 4.92 kB
- SHA256:
- f8128dc0f43d73f9ec50d622ca338dbfc41d84499ba13ba50cb0520f52565cf2
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