Instructions to use sezing/mistral_instruct_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sezing/mistral_instruct_generation with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "sezing/mistral_instruct_generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd5fabf07e076bbb4df79faf8ac31c590f4a90e98d9cb429101e99c90c708e59
- Size of remote file:
- 5.11 kB
- SHA256:
- a3e57d8dff1d2b6d34645de7ada699b17c1b99bf83a1a9a648443e37a553da5e
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