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:
- 241ea7f4999d29c97e0fb77cf9c6393f49535a8efcf6477156108bd4e034249d
- Size of remote file:
- 6.78 kB
- SHA256:
- b9fc42dfad270f468739db9b1aee3c678e3af961c6f49eb22ddd19a46426aec8
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