Instructions to use kernelguardian/instruct2action_llama2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kernelguardian/instruct2action_llama2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded") model = PeftModel.from_pretrained(base_model, "kernelguardian/instruct2action_llama2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9dcff8e73189356f5d19be4c77ca5ab78ae078fe7e1aea90133b53bfd279cfbf
- Size of remote file:
- 4.03 kB
- SHA256:
- 788dc160725e9c7fe7530781e107c4630dcbfbf1af182c1ca7e82c10c693b12d
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