Instructions to use bmehrba/Llama-2-13b-chat-hf-fine-tuned_Aleatoric_Llama13b_0.6_Seed101 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_Aleatoric_Llama13b_0.6_Seed101 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_Aleatoric_Llama13b_0.6_Seed101") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c320938e3fc30b4618917983e921399eb7675418277eb404dabd305711d7ec07
- Size of remote file:
- 443 Bytes
- SHA256:
- e5e1621f48d9ad8feb1d6d31050275f0aafd080c5c07153301fe2f48411f4406
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