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:
- b37ca73ae860e390ffdb8ea1715a6ce5fc05a402c9d09adb8b81b72dcaab4629
- Size of remote file:
- 6.78 kB
- SHA256:
- e10bd637be1209a992716bc7578d6435e38a1309f4870d6d7f99599dc96bf799
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