Instructions to use bmehrba/Llama-2-13b-chat-hf-fine-tuned-adapters_Aleatoric_Llama13b_0.8_Seed104 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bmehrba/Llama-2-13b-chat-hf-fine-tuned-adapters_Aleatoric_Llama13b_0.8_Seed104 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, "bmehrba/Llama-2-13b-chat-hf-fine-tuned-adapters_Aleatoric_Llama13b_0.8_Seed104") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b98dfedae5d038dfc519fc83452e2ded5a608aa9e74dbec12274da7294a2e9e6
- Size of remote file:
- 105 MB
- SHA256:
- 0b8d3f0aaab5820737184fa1d19354968278b342a3642e85d818e56c227af333
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