Instructions to use kernelguardian/llama2action with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kernelguardian/llama2action 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/llama2action") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30b930f995a4070284c35170620176ba893c2496f8e4775d42243b50d77737ea
- Size of remote file:
- 134 MB
- SHA256:
- 23d6750736314773fe99b679543db1d7d0f387d1bb13195bb0d74cda230ff0d1
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