Instructions to use johngreendr1/12b8941b-753f-4076-aeaf-75c27efacddf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use johngreendr1/12b8941b-753f-4076-aeaf-75c27efacddf with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-32B-Instruct") model = PeftModel.from_pretrained(base_model, "johngreendr1/12b8941b-753f-4076-aeaf-75c27efacddf") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2046209d71468168f4a09c7b6d1055b1c171ef0be91919dffa383a1e550daaf
- Size of remote file:
- 2.15 GB
- SHA256:
- e13dd9256ce1b7cb4c9edfa3a97374bdacbb3523b9e51e172836e6a3589b5d3f
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