Instructions to use ageppert/world-model-7b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ageppert/world-model-7b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("xlangai/OpenCUA-7B") model = PeftModel.from_pretrained(base_model, "ageppert/world-model-7b-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e31e76611cd631c486de1d77ba92e7c0fac1673240ab96703e120886193a2140
- Size of remote file:
- 2.56 MB
- SHA256:
- b2b1b8dfb5cc5f024bafc373121c6aba3f66f9a5a0269e243470a1de16a33186
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