Instructions to use hasdal/3e3b8034-af2e-4d3b-9a54-7bb7428c1545 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hasdal/3e3b8034-af2e-4d3b-9a54-7bb7428c1545 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, "hasdal/3e3b8034-af2e-4d3b-9a54-7bb7428c1545") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 370817226df166938259038be0a74cb40cf745fe3d13381cddbd44df5b7841ac
- Size of remote file:
- 1.34 GB
- SHA256:
- e1f0efb97036e6fb1a104c5881e295a161623f51e2fb3be775f39ab02559a580
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