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
File size: 332 Bytes
25276e4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | module gen_sync ( input clock,input reset,input enable,input [7:0] rate,output wire sync );
reg [7:0] counter;
assign sync = |(((rate+1)>>1)& counter);
always @(posedge clock)
if(reset || ~enable)
counter <= #1 0;
else if(counter == rate)
counter <= #1 0;
else
counter <= #1 counter + 8'd1;
endmodule
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