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:
- c7a1961f85ad8191ab28227ff594511b1e9f45ab6f6d99624824183c3695f6c3
- Size of remote file:
- 13.8 MB
- SHA256:
- c3e7ab56c36daf75e31b7cef5f21e23b4d8d74b748f71076fdbd67ad58ec7990
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