Instructions to use CShorten/mistral-schemaSplit-500-steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CShorten/mistral-schemaSplit-500-steps 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, "CShorten/mistral-schemaSplit-500-steps") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f876a1547aaefcd6894562ea35cb48480e963b783878d9d346df2f96b9fa9bb6
- Size of remote file:
- 340 MB
- SHA256:
- 2e8a1fadaadf6fc71d140c30fbc1ad3838942aa7cd6a52d79097380972dfb443
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