Instructions to use adediu25/trained_weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adediu25/trained_weights with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "adediu25/trained_weights") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05fa88761def2fd8e77f13dfeb84b228f3c9d9f9d792f6cc47eea47c25abd761
- Size of remote file:
- 4.92 kB
- SHA256:
- 8cb4fe22af683bea390e5afd6111fd270679fe765d1b5b1382434ccd83be50f9
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