Instructions to use prxy5608/bf848b64-7d03-40dc-81db-ea4420751f4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/bf848b64-7d03-40dc-81db-ea4420751f4b 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/bf848b64-7d03-40dc-81db-ea4420751f4b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 890ccc3877aca4e45f2943e43a110dfbb7efa12b7631366b62202059ab13bbc6
- Size of remote file:
- 141 MB
- SHA256:
- 35e056a2bee6a4cf7082ed873c4ec1cf07c215f6a446f802601075801eaf507c
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