Instructions to use anhnd16/simple_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use anhnd16/simple_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-3b") model = PeftModel.from_pretrained(base_model, "anhnd16/simple_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41acc88d490fb861ff6edf9311d62209c676b06c4de3c8f1968531cd9034a8f5
- Size of remote file:
- 9.85 MB
- SHA256:
- 1c9a0ac38025065e5a5e297a53ff2465a8a35508cb09f354af88b22d5b185eef
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