Instructions to use laquythang/8654734a-f0bc-49c3-a6d9-6bea87265855 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/8654734a-f0bc-49c3-a6d9-6bea87265855 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-llama-2-7b") model = PeftModel.from_pretrained(base_model, "laquythang/8654734a-f0bc-49c3-a6d9-6bea87265855") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 167a4b263ab8f18e3e9340d9c430dcfc04ae90db3e5cd39c49b9cabade23ff4c
- Size of remote file:
- 604 MB
- SHA256:
- 4ee0bbc3c5e1c60c3ffadfc5fc4476b1c5dc27b99824566cb5018c61c0ee00af
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