Instructions to use M9DX/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use M9DX/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-chat-hf") model = PeftModel.from_pretrained(base_model, "M9DX/outputs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6efa41de99447c67ff71f8743e5fec331a438f56115b8a36499eb6703bf33272
- Size of remote file:
- 4.92 kB
- SHA256:
- 9143dacfc49142e800e5230ea7d6d8089ee6e69064314759023f6499b406eef7
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