Commit
•
1e86311
1
Parent(s):
cad4540
Fixed an error regarding the verification of a type
Browse files- chatbot.py +6 -6
chatbot.py
CHANGED
@@ -17,7 +17,7 @@ prompt.
|
|
17 |
import argparse
|
18 |
import torch
|
19 |
|
20 |
-
from transformers import AutoModelForCausalLM, AutoTokenizer
|
21 |
from typing import Optional, Union
|
22 |
|
23 |
|
@@ -28,9 +28,9 @@ class ChatBot:
|
|
28 |
|
29 |
Parameters
|
30 |
----------
|
31 |
-
base_model : str |
|
32 |
A name (path in hugging face hub) for a model, or the model itself.
|
33 |
-
tokenizer :
|
34 |
Needed in case the base_model is a given model, otherwise it will load
|
35 |
the same model given by the base_model path.
|
36 |
initial_prompt : str
|
@@ -53,8 +53,8 @@ class ChatBot:
|
|
53 |
"""
|
54 |
|
55 |
def __init__(self,
|
56 |
-
base_model: Union[str,
|
57 |
-
tokenizer: Optional[
|
58 |
initial_prompt: Optional[str] = None,
|
59 |
keep_context: bool = False,
|
60 |
creative: bool = False,
|
@@ -69,7 +69,7 @@ class ChatBot:
|
|
69 |
)
|
70 |
self.tokenizer = AutoTokenizer.from_pretrained(base_model)
|
71 |
else:
|
72 |
-
assert isinstance(
|
73 |
"If the base model is given, the tokenizer should be given as well"
|
74 |
self.model = base_model
|
75 |
self.tokenizer = tokenizer
|
|
|
17 |
import argparse
|
18 |
import torch
|
19 |
|
20 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer, PreTrainedModel, PreTrainedTokenizerBase
|
21 |
from typing import Optional, Union
|
22 |
|
23 |
|
|
|
28 |
|
29 |
Parameters
|
30 |
----------
|
31 |
+
base_model : str | PreTrainedModel
|
32 |
A name (path in hugging face hub) for a model, or the model itself.
|
33 |
+
tokenizer : PreTrainedTokenizerBase | None
|
34 |
Needed in case the base_model is a given model, otherwise it will load
|
35 |
the same model given by the base_model path.
|
36 |
initial_prompt : str
|
|
|
53 |
"""
|
54 |
|
55 |
def __init__(self,
|
56 |
+
base_model: Union[str, PreTrainedModel],
|
57 |
+
tokenizer: Optional[PreTrainedTokenizerBase] = None,
|
58 |
initial_prompt: Optional[str] = None,
|
59 |
keep_context: bool = False,
|
60 |
creative: bool = False,
|
|
|
69 |
)
|
70 |
self.tokenizer = AutoTokenizer.from_pretrained(base_model)
|
71 |
else:
|
72 |
+
assert isinstance(tokenizer, PreTrainedTokenizerBase),\
|
73 |
"If the base model is given, the tokenizer should be given as well"
|
74 |
self.model = base_model
|
75 |
self.tokenizer = tokenizer
|