Instructions to use YieldInc/qfdly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use YieldInc/qfdly with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "YieldInc/qfdly") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01bdba04f306ac18a8dac9e79b9a65bd2fd0b663eea64076d5fd5cf9a5ba7bc7
- Size of remote file:
- 4.09 kB
- SHA256:
- 61a81968e4ef957874aa211d8abcfe1eab9b06f69584e7735cf76562d723a437
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