Instructions to use 4ndr3w/llama2_instruct_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 4ndr3w/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, "4ndr3w/llama2_instruct_generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7042dd594802d9d0550966dac26fa343aaee49c3f63c05d90c7ca6a7c8a8e34e
- Size of remote file:
- 4.73 kB
- SHA256:
- 7c22422015a860338252775c26240055a212b71ae2be7eaaaa6b6697171685af
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