Instructions to use gavrilstep/20f47158-c95c-4753-9206-6822749b2011 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gavrilstep/20f47158-c95c-4753-9206-6822749b2011 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "gavrilstep/20f47158-c95c-4753-9206-6822749b2011") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3b02f89713ef9e35af9b22787d1ea5dfc0dffd8874c3407c50173dfa288d335
- Size of remote file:
- 503 MB
- SHA256:
- 3ca3bd22718befc1cf7d60ec07cb4c8bf5a30b58824152bdd988bfe1e99bc6cd
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