Update app.py
Browse files
app.py
CHANGED
|
@@ -63,3 +63,23 @@ demo = gr.ChatInterface(
|
|
| 63 |
if __name__ == "__main__":
|
| 64 |
demo.launch()
|
| 65 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 63 |
if __name__ == "__main__":
|
| 64 |
demo.launch()
|
| 65 |
|
| 66 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 67 |
+
from peft import PeftModel
|
| 68 |
+
import torch
|
| 69 |
+
|
| 70 |
+
base_model_name = "unsloth/qwen2.5-math-7b-bnb-4bit"
|
| 71 |
+
peft_model_name = "Hrushi02/Root_Math"
|
| 72 |
+
|
| 73 |
+
# Load base model
|
| 74 |
+
base_model = AutoModelForCausalLM.from_pretrained(
|
| 75 |
+
base_model_name,
|
| 76 |
+
torch_dtype=torch.float16,
|
| 77 |
+
device_map="auto"
|
| 78 |
+
)
|
| 79 |
+
|
| 80 |
+
# Load PEFT model
|
| 81 |
+
model = PeftModel.from_pretrained(base_model, peft_model_name)
|
| 82 |
+
|
| 83 |
+
# Load tokenizer
|
| 84 |
+
tokenizer = AutoTokenizer.from_pretrained(base_model_name)
|
| 85 |
+
|