Instructions to use bmehrba/Llama-2-13b-chat-hf-fine-tuned-adapters_Aleatoric_Llama13b_0.8_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-adapters_Aleatoric_Llama13b_0.8_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-adapters_Aleatoric_Llama13b_0.8_Seed101") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b95d21f974d3f97cc2ab9b824cf9688a80f6ecec3009e5b20362f05fc20856e
- Size of remote file:
- 105 MB
- SHA256:
- 123278a03ef8c7870fb090929ebb642803384fa6e36117a3a3e64b71e64f8301
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