Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
|
@@ -70,28 +70,35 @@ class ModelManager:
|
|
| 70 |
prompt += f"Assistant: {content}\n"
|
| 71 |
prompt += "Assistant: "
|
| 72 |
|
| 73 |
-
# ํ ํฌ๋์ด์ง
|
| 74 |
-
|
| 75 |
prompt,
|
| 76 |
return_tensors="pt",
|
| 77 |
padding=True,
|
| 78 |
truncation=True,
|
| 79 |
max_length=4096
|
| 80 |
-
).input_ids
|
| 81 |
-
|
| 82 |
-
# ์์ฑ
|
| 83 |
-
outputs = self.model.generate(
|
| 84 |
-
input_ids,
|
| 85 |
-
max_new_tokens=max_tokens,
|
| 86 |
-
do_sample=True,
|
| 87 |
-
temperature=temperature,
|
| 88 |
-
top_p=top_p,
|
| 89 |
-
pad_token_id=self.tokenizer.pad_token_id,
|
| 90 |
-
eos_token_id=self.tokenizer.eos_token_id,
|
| 91 |
-
num_return_sequences=1
|
| 92 |
)
|
|
|
|
|
|
|
|
|
|
|
|
|
| 93 |
|
| 94 |
-
#
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 95 |
generated_text = self.tokenizer.decode(
|
| 96 |
outputs[0][input_ids.shape[1]:],
|
| 97 |
skip_special_tokens=True
|
|
|
|
| 70 |
prompt += f"Assistant: {content}\n"
|
| 71 |
prompt += "Assistant: "
|
| 72 |
|
| 73 |
+
# ํ ํฌ๋์ด์ง ๋ฐ device ์ค์
|
| 74 |
+
inputs = self.tokenizer(
|
| 75 |
prompt,
|
| 76 |
return_tensors="pt",
|
| 77 |
padding=True,
|
| 78 |
truncation=True,
|
| 79 |
max_length=4096
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 80 |
)
|
| 81 |
+
|
| 82 |
+
# ๋ชจ๋ ํ
์๋ฅผ GPU๋ก ์ด๋
|
| 83 |
+
input_ids = inputs.input_ids.to(self.model.device)
|
| 84 |
+
attention_mask = inputs.attention_mask.to(self.model.device)
|
| 85 |
|
| 86 |
+
# ์์ฑ
|
| 87 |
+
with torch.no_grad():
|
| 88 |
+
outputs = self.model.generate(
|
| 89 |
+
input_ids=input_ids,
|
| 90 |
+
attention_mask=attention_mask,
|
| 91 |
+
max_new_tokens=max_tokens,
|
| 92 |
+
do_sample=True,
|
| 93 |
+
temperature=temperature,
|
| 94 |
+
top_p=top_p,
|
| 95 |
+
pad_token_id=self.tokenizer.pad_token_id,
|
| 96 |
+
eos_token_id=self.tokenizer.eos_token_id,
|
| 97 |
+
num_return_sequences=1
|
| 98 |
+
)
|
| 99 |
+
|
| 100 |
+
# ๋์ฝ๋ฉ ์ ์ CPU๋ก ์ด๋
|
| 101 |
+
outputs = outputs.cpu()
|
| 102 |
generated_text = self.tokenizer.decode(
|
| 103 |
outputs[0][input_ids.shape[1]:],
|
| 104 |
skip_special_tokens=True
|