Text Generation
PEFT
Safetensors
English
lora
qwen2.5-coder
verilog
eda
dft
test-point-insertion
reinforcement-learning
grpo
conversational
Instructions to use SKLP-EDA-LAB/Tesla-Pro-TPI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SKLP-EDA-LAB/Tesla-Pro-TPI 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-TPI") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de09a3827d51eb49129f462e38e8c7768c23118d1ce5bd456626290fbaac2426
- Size of remote file:
- 162 MB
- SHA256:
- ae3494fed80250e00c7c032952f7ba58f166761ad691639947b80edd198bb8fa
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