Instructions to use AWeirdDev/zh-tw-llama-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AWeirdDev/zh-tw-llama-2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "AWeirdDev/zh-tw-llama-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 775a46f1c704a05de45dd16fa886f9ef27791ff5239132ef87e527b82fcf25f8
- Size of remote file:
- 134 MB
- SHA256:
- d23082733925289192f1b44d61098cea3970c18e1409f9440a58f89f6f446bd4
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