Instructions to use JKilpatrick/llama2_instruct_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JKilpatrick/llama2_instruct_generation with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "JKilpatrick/llama2_instruct_generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3cf27c257adabaf825c05690363b5336d8b7924e9d970af561f6157f387ab098
- Size of remote file:
- 134 MB
- SHA256:
- c1785b056c8f80c9413443eba0349eb760345c55b4b1b8ac65ecbe646ccad6e4
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