Instructions to use victordorian66/final_internlm_attack_idk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use victordorian66/final_internlm_attack_idk with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("internlm/internlm3-8b-instruct") model = PeftModel.from_pretrained(base_model, "victordorian66/final_internlm_attack_idk") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e590f00a4c5fd18e54c2e83d98283785b2e0cfd53fa2767a3750a7dbb072bcd0
- Size of remote file:
- 2.1 GB
- SHA256:
- 0c20f71448d3d9b5b0ab8d31a38dca450c8e8e6bdf07c832fe725dc3ce76ce3b
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