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:
- a63226e5ba08a87800b7926f92fd76dfa9adfa03c60d93228026b84e3814da33
- Size of remote file:
- 83.9 MB
- SHA256:
- 899808c0ab0b6a473a877425744e7f47cca377e3a49d7fcacaf79fd0b2ecf001
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