Instructions to use nthakur/Mistral-7B-Instruct-v0.2-nomiracl-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nthakur/Mistral-7B-Instruct-v0.2-nomiracl-sft 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, "nthakur/Mistral-7B-Instruct-v0.2-nomiracl-sft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c08a3d58850d9b6145195cc665e00d819ce1e173686585bdfd2689b742d05bc
- Size of remote file:
- 6.46 kB
- SHA256:
- be5969e66b7477d15b9667b018c09817aefa227af7ef2eca632f88f071280fd5
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