Text Generation
PEFT
Safetensors
English
lora
qwen2.5-coder
verilog
eda
dft
partial-scan
reinforcement-learning
grpo
conversational
Instructions to use SKLP-EDA-LAB/Tesla-Pro-PSS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SKLP-EDA-LAB/Tesla-Pro-PSS 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, "SKLP-EDA-LAB/Tesla-Pro-PSS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 181232625d7e3c1ca253022b94db7459de4b9f8d97cb3770cff277fa3734547e
- Size of remote file:
- 11.4 MB
- SHA256:
- 63a2951d5edfa5cc0a2346ef872f8c77a2920274cfc3b503b04e3799104dee80
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