Instructions to use nttx/6193343a-d424-457c-aae7-ccffc2f62996 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/6193343a-d424-457c-aae7-ccffc2f62996 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, "nttx/6193343a-d424-457c-aae7-ccffc2f62996") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13d827218d392d3d3b9b679952d20e9b87bcfbb995445ab13d536f6d03983765
- Size of remote file:
- 83.9 MB
- SHA256:
- 5ecf08633bf924ff1699de1121acad5e6611f893db596a2f1ace143ef8691770
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