Spaces:
Sleeping
Sleeping
Update app.py
Browse fileseos token set to im_end and debugging
app.py
CHANGED
|
@@ -25,6 +25,7 @@ class ChatBot:
|
|
| 25 |
self.tokenizer = AutoTokenizer.from_pretrained(
|
| 26 |
MODEL_NAME, trust_remote_code=True
|
| 27 |
)
|
|
|
|
| 28 |
print("Tokenizer loaded!")
|
| 29 |
|
| 30 |
print("Loading model...")
|
|
@@ -68,11 +69,6 @@ class ChatBot:
|
|
| 68 |
# Tokenize
|
| 69 |
inputs = self.tokenizer(prompt, return_tensors="pt").to(self.model.device)
|
| 70 |
|
| 71 |
-
# Get stop token IDs for "assistant\n"
|
| 72 |
-
stop_token_ids = self.tokenizer.encode(
|
| 73 |
-
"assistant\n", add_special_tokens=False
|
| 74 |
-
)
|
| 75 |
-
|
| 76 |
# Generate response
|
| 77 |
with torch.no_grad():
|
| 78 |
outputs = self.model.generate(
|
|
@@ -82,7 +78,7 @@ class ChatBot:
|
|
| 82 |
do_sample=True,
|
| 83 |
return_dict_in_generate=True,
|
| 84 |
pad_token_id=self.tokenizer.eos_token_id,
|
| 85 |
-
eos_token_id=[self.tokenizer.eos_token_id] +
|
| 86 |
)
|
| 87 |
|
| 88 |
# Decode and clean response, with multiple debugs
|
|
|
|
| 25 |
self.tokenizer = AutoTokenizer.from_pretrained(
|
| 26 |
MODEL_NAME, trust_remote_code=True
|
| 27 |
)
|
| 28 |
+
print(self.tokenizer.eos_token_id)
|
| 29 |
print("Tokenizer loaded!")
|
| 30 |
|
| 31 |
print("Loading model...")
|
|
|
|
| 69 |
# Tokenize
|
| 70 |
inputs = self.tokenizer(prompt, return_tensors="pt").to(self.model.device)
|
| 71 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 72 |
# Generate response
|
| 73 |
with torch.no_grad():
|
| 74 |
outputs = self.model.generate(
|
|
|
|
| 78 |
do_sample=True,
|
| 79 |
return_dict_in_generate=True,
|
| 80 |
pad_token_id=self.tokenizer.eos_token_id,
|
| 81 |
+
eos_token_id=[self.tokenizer.eos_token_id] + "<|im_end|>",
|
| 82 |
)
|
| 83 |
|
| 84 |
# Decode and clean response, with multiple debugs
|