Instructions to use InHawK/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use InHawK/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "InHawK/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d9ac4e92b5e4b817d60a5551215525c801f01c9d463c3c152fc9987ded12e80
- Size of remote file:
- 4.66 kB
- SHA256:
- f2329a422f3599886569e5231ac453920abd8a7a8d631deed35543ed13f8e6b2
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