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:
- 4217c1ab8086060d8cbde272ac094b7fd0fffd2a142d7f57e80e8d92a6221b6f
- Size of remote file:
- 4.86 kB
- SHA256:
- 22266db8ecac5c34cbc1d86f77b85fe362800b1e44f42488fd49992d32ecf19d
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