Instructions to use sezing/mistral_instruct_generation_tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sezing/mistral_instruct_generation_tr with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("malhajar/Mistral-7B-Instruct-v0.2-turkish") model = PeftModel.from_pretrained(base_model, "sezing/mistral_instruct_generation_tr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4c7de49b944deb27db9f59612e45e70577745140b35bfa15851dfb32a4616ea
- Size of remote file:
- 5.11 kB
- SHA256:
- 779abec1470741eb52211bd5de689a9dd197d8c37f6d5555c175213f9370c828
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