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
File size: 134 Bytes
8bde04c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ae3494fed80250e00c7c032952f7ba58f166761ad691639947b80edd198bb8fa
size 161533192
|