Instructions to use andrk9/PIRSData with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use andrk9/PIRSData with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-70b-hf") model = PeftModel.from_pretrained(base_model, "andrk9/PIRSData") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4196e9055ce58ac5c3f1a85c0f3e56dd45d9a8d337c22a959402d4809c72ca33
- Size of remote file:
- 4.92 kB
- SHA256:
- 1ed0ba6fb9a88dad56f61d9306f17b4e66e8767d898772faa97871a1388e82cf
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