Instructions to use prxy5608/a7852e46-28dc-469d-b52c-b8d730a4dcab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/a7852e46-28dc-469d-b52c-b8d730a4dcab with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "prxy5608/a7852e46-28dc-469d-b52c-b8d730a4dcab") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13a6d6aaecdf71b390cc079a0f5227739222e587cf2095ad071040ee09fbc471
- Size of remote file:
- 71.9 MB
- SHA256:
- 4b26cbd1cec4cabc527f5b0b4535a2212ad27ec84d6969a9abcdd9d8309a7cc2
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