Instructions to use surrey-nlp/En-Ta_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-Ta_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-Ta_Mono-AG-Llama-2-13b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a20571abb447fa01ab4cb8c2fc9b3d79fcdd6649f8cf0578c1a865df35a3a3d7
- Size of remote file:
- 5.18 kB
- SHA256:
- 84173aa53b8ff1e9f848687c0522631d3aa403bf43a28cd6e789b3a7c39bf362
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