Instructions to use Paladiso/2aacbcec-7c25-4a24-b1fe-80d58b933667 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/2aacbcec-7c25-4a24-b1fe-80d58b933667 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Coder-7B") model = PeftModel.from_pretrained(base_model, "Paladiso/2aacbcec-7c25-4a24-b1fe-80d58b933667") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38d2359c21c7b00248e2c5e4c21a380c941c0036c374f4d05157d9d04062c62a
- Size of remote file:
- 6.78 kB
- SHA256:
- 33de22a8b7bea26b4a58e3b0a52bb26a5a28b38498b374b05892cfa2bed98bd8
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