Instructions to use datlaaaaaaa/1b6818e0-989e-432e-8013-054a2fec4ab5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use datlaaaaaaa/1b6818e0-989e-432e-8013-054a2fec4ab5 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, "datlaaaaaaa/1b6818e0-989e-432e-8013-054a2fec4ab5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f903a1e9b8c3106300a7772264108c25b6642103591c2b391e9441fedef7778
- Size of remote file:
- 6.78 kB
- SHA256:
- 17b01cb03495ae87af232f1ba8e7abeaa918f255ed0ffdaa42dc58acc348aa0f
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