Instructions to use Pablo-Flores-Mollinedo/verilog-qwen2.5-coder-7b-v9-auto-distilled-direct-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Pablo-Flores-Mollinedo/verilog-qwen2.5-coder-7b-v9-auto-distilled-direct-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "Pablo-Flores-Mollinedo/verilog-qwen2.5-coder-7b-v9-auto-distilled-direct-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 533f3044db06dacc99fead8b8cd584dc450804fee108a2875d29955bc7073063
- Size of remote file:
- 11.4 MB
- SHA256:
- 3931410bb94b6af8a8f501473b36c01ae62876bc79da5b6ebfafcb33d918bb49
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