Instructions to use oosij/llama2-ko-13b-3task with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use oosij/llama2-ko-13b-3task with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("beomi/llama-2-koen-13b") model = PeftModel.from_pretrained(base_model, "oosij/llama2-ko-13b-3task") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a331065d334a090f164b09fb270abd8d8e8cf9c9db5a0b15f1dd89fe7d16f489
- Size of remote file:
- 210 MB
- SHA256:
- 5462d1d7984e7d3b20fa21f9c87b671e7103c90a3b8ddc648f28f5ddaea1ada2
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