Instructions to use dzanbek/052e813f-70b6-4038-adb7-a826a5f24633 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dzanbek/052e813f-70b6-4038-adb7-a826a5f24633 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-Mistral-7B-DPO") model = PeftModel.from_pretrained(base_model, "dzanbek/052e813f-70b6-4038-adb7-a826a5f24633") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 811d377464fe86a4c3709a57095a8f696b7bb19d374ba090b61b510f8ee2e932
- Size of remote file:
- 168 MB
- SHA256:
- 264fb80c3a7830c9942425211af6bdc69e6bc596276a815cc422cd6c999f2d33
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