Instructions to use rheubanks/llama2_instruct_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rheubanks/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, "rheubanks/llama2_instruct_generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0dfdaed3023927f5b2672d3bbac842a0da2cc7a0eb63484d1aac70d8f6699815
- Size of remote file:
- 4.73 kB
- SHA256:
- 13a108d5e4534c893c6c70911b718255e040bdd527133bd86d7a413a53c974ac
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