Update README.md
Browse files
README.md
CHANGED
|
@@ -49,7 +49,6 @@ import json
|
|
| 49 |
from typing import Any, Dict, List
|
| 50 |
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 51 |
|
| 52 |
-
# Specify the desired model name here
|
| 53 |
model_name = "katanemo/Arch-Agent-7B"
|
| 54 |
|
| 55 |
model = AutoModelForCausalLM.from_pretrained(
|
|
@@ -57,8 +56,6 @@ model = AutoModelForCausalLM.from_pretrained(
|
|
| 57 |
)
|
| 58 |
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
| 59 |
|
| 60 |
-
|
| 61 |
-
# Please use the recommended prompt for each model.
|
| 62 |
TASK_PROMPT = (
|
| 63 |
"You are a helpful assistant designed to assist with the user query by making one or more function calls if needed."
|
| 64 |
"\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\n"
|
|
@@ -94,7 +91,6 @@ tools = [
|
|
| 94 |
}
|
| 95 |
]
|
| 96 |
|
| 97 |
-
|
| 98 |
# Helper function to create the system prompt for our model
|
| 99 |
def format_prompt(tools: List[Dict[str, Any]]):
|
| 100 |
tool_text = "\n".join(
|
|
@@ -102,7 +98,6 @@ def format_prompt(tools: List[Dict[str, Any]]):
|
|
| 102 |
)
|
| 103 |
return TASK_PROMPT.format(tool_text=tool_text)
|
| 104 |
|
| 105 |
-
|
| 106 |
system_prompt = format_prompt(tools)
|
| 107 |
|
| 108 |
messages = [
|
|
@@ -110,7 +105,6 @@ messages = [
|
|
| 110 |
{"role": "user", "content": "What is the weather in Seattle?"},
|
| 111 |
]
|
| 112 |
|
| 113 |
-
#### 2.2.3 Run inference
|
| 114 |
model_inputs = tokenizer.apply_chat_template(
|
| 115 |
messages, add_generation_prompt=True, return_tensors="pt", return_dict=True
|
| 116 |
).to(model.device)
|
|
|
|
| 49 |
from typing import Any, Dict, List
|
| 50 |
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 51 |
|
|
|
|
| 52 |
model_name = "katanemo/Arch-Agent-7B"
|
| 53 |
|
| 54 |
model = AutoModelForCausalLM.from_pretrained(
|
|
|
|
| 56 |
)
|
| 57 |
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
| 58 |
|
|
|
|
|
|
|
| 59 |
TASK_PROMPT = (
|
| 60 |
"You are a helpful assistant designed to assist with the user query by making one or more function calls if needed."
|
| 61 |
"\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\n"
|
|
|
|
| 91 |
}
|
| 92 |
]
|
| 93 |
|
|
|
|
| 94 |
# Helper function to create the system prompt for our model
|
| 95 |
def format_prompt(tools: List[Dict[str, Any]]):
|
| 96 |
tool_text = "\n".join(
|
|
|
|
| 98 |
)
|
| 99 |
return TASK_PROMPT.format(tool_text=tool_text)
|
| 100 |
|
|
|
|
| 101 |
system_prompt = format_prompt(tools)
|
| 102 |
|
| 103 |
messages = [
|
|
|
|
| 105 |
{"role": "user", "content": "What is the weather in Seattle?"},
|
| 106 |
]
|
| 107 |
|
|
|
|
| 108 |
model_inputs = tokenizer.apply_chat_template(
|
| 109 |
messages, add_generation_prompt=True, return_tensors="pt", return_dict=True
|
| 110 |
).to(model.device)
|