Instructions to use beast33/f845d199-ee0f-4007-b8d6-b70cc601cec7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beast33/f845d199-ee0f-4007-b8d6-b70cc601cec7 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, "beast33/f845d199-ee0f-4007-b8d6-b70cc601cec7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b82bc6fd9cbc6bba785680c440b9958075a300d4dc0c38126d81663614fbcc72
- Size of remote file:
- 6.78 kB
- SHA256:
- 3f6e225f2e4cd1382f16a59e84a46473fd234e254815b8527cbc2c686b1aa75b
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