Update app.py
Browse files
app.py
CHANGED
|
@@ -4,14 +4,16 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
|
|
| 4 |
|
| 5 |
peft_model_id = f"seongcho/GenerAd-AI"
|
| 6 |
config = PeftConfig.from_pretrained(peft_model_id)
|
|
|
|
| 7 |
model = AutoModelForCausalLM.from_pretrained(
|
| 8 |
-
config.base_model_name_or_path,
|
| 9 |
-
return_dict=True,
|
| 10 |
-
load_in_8bit=True,
|
| 11 |
-
device_map=
|
| 12 |
)
|
| 13 |
tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path)
|
| 14 |
|
|
|
|
| 15 |
# Load the Lora model
|
| 16 |
model = PeftModel.from_pretrained(model, peft_model_id)
|
| 17 |
|
|
|
|
| 4 |
|
| 5 |
peft_model_id = f"seongcho/GenerAd-AI"
|
| 6 |
config = PeftConfig.from_pretrained(peft_model_id)
|
| 7 |
+
|
| 8 |
model = AutoModelForCausalLM.from_pretrained(
|
| 9 |
+
config.base_model_name_or_path,
|
| 10 |
+
return_dict=True,
|
| 11 |
+
load_in_8bit=True,
|
| 12 |
+
device_map='auto',
|
| 13 |
)
|
| 14 |
tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path)
|
| 15 |
|
| 16 |
+
|
| 17 |
# Load the Lora model
|
| 18 |
model = PeftModel.from_pretrained(model, peft_model_id)
|
| 19 |
|