Instructions to use surrey-nlp/En-Mr_Mono-AG-Llama-2-13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use surrey-nlp/En-Mr_Mono-AG-Llama-2-13b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-chat-hf") model = PeftModel.from_pretrained(base_model, "surrey-nlp/En-Mr_Mono-AG-Llama-2-13b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5439c595e6ffd08e1ffd1398deed1f1ca3ac99bf0519eb6fc08ac40e7670a30f
- Size of remote file:
- 172 MB
- SHA256:
- ca7906e895aa3ae7fbc664cf0003f3818f89e59e0c6e064ebc03e727b1757af6
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