Instructions to use behzadnet/Llama-2-7b-chat-hf-sharded-bf16-fine-tuned-adapters_chatGPT_temp0_Seed113 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use behzadnet/Llama-2-7b-chat-hf-sharded-bf16-fine-tuned-adapters_chatGPT_temp0_Seed113 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Trelis/Llama-2-7b-chat-hf-sharded-bf16") model = PeftModel.from_pretrained(base_model, "behzadnet/Llama-2-7b-chat-hf-sharded-bf16-fine-tuned-adapters_chatGPT_temp0_Seed113") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2489a9eec78d2b9599788d3d976e4db0cc8ef1e88fd53a40f4e340850007c1d7
- Size of remote file:
- 67.2 MB
- SHA256:
- 00d650ed0b598f3e5005f6efb469f2e7c5e0ee45326f22e95e42cdbb4361e475
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