Instructions to use YOZ1/RadAI4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use YOZ1/RadAI4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("daryl149/llama-2-13b-chat-hf") model = PeftModel.from_pretrained(base_model, "YOZ1/RadAI4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d6177d2a0840aa6969e16c741a520e3b4ecccb5e331a9687b5aad218724897b
- Size of remote file:
- 419 MB
- SHA256:
- 4a256c21f00d9b22ef0d07feac5b3bd68e89118ea7e394043c7d09d2e3f26ba1
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