Instructions to use HemrajS/LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HemrajS/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, "HemrajS/LORA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5676c80e10f0812ee09d336b4dc03e1bc2aa77d4c2d8bf34b20cdb1fb4b0449
- Size of remote file:
- 9.85 MB
- SHA256:
- 29603647a5e2355593ba929444791dca81f0aaba2fcd0b5f4c3e72daee46a4f6
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