Instructions to use bskang/test_demo_ver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bskang/test_demo_ver with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-3b") model = PeftModel.from_pretrained(base_model, "bskang/test_demo_ver") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2077ff516425bf6f57a2b5bf79455a9e54038c0e4d57cc6bddcfed26125e743
- Size of remote file:
- 19.7 MB
- SHA256:
- 1cb41e6e9a8520710314b90c18fa10a7fff59edf14083720c0a580c6ab6ab1a2
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