Instructions to use kokovova/b4160258-234f-4361-8e0a-d36a0daa5548 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kokovova/b4160258-234f-4361-8e0a-d36a0daa5548 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "kokovova/b4160258-234f-4361-8e0a-d36a0daa5548") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9d3267ab40798643a7c07ff90012fe040d6860ec4c63999e6e1b05bce40f37a
- Size of remote file:
- 6.71 kB
- SHA256:
- c1bcd43f1fd9d2af8467e3d7756f57abcfd3e21a3565827c98d9571f70bc8abc
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