|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
try: |
|
|
tools = [ |
|
|
{ |
|
|
"name": "get_weather", |
|
|
"description": "Get the weather in a city", |
|
|
"parameters": {"type": "object", "properties": {"city": {"type": "string", "description": "The city to get the weather for"}}}} |
|
|
] |
|
|
|
|
|
messages = [ |
|
|
{ |
|
|
"role": "user", |
|
|
"content": "Hello! How is the weather today in Copenhagen?" |
|
|
} |
|
|
] |
|
|
|
|
|
inputs = tokenizer.apply_chat_template( |
|
|
messages, |
|
|
enable_thinking=False, |
|
|
xml_tools=tools, |
|
|
add_generation_prompt=True, |
|
|
tokenize=True, |
|
|
return_tensors="pt" |
|
|
).to(model.device) |
|
|
|
|
|
outputs = model.generate(inputs) |
|
|
print(tokenizer.decode(outputs[0])) |
|
|
with open('HuggingFaceTB_SmolLM3-3B_6.txt', 'w', encoding='utf-8') as f: |
|
|
f.write('Everything was good in HuggingFaceTB_SmolLM3-3B_6.txt') |
|
|
except Exception as e: |
|
|
import os |
|
|
from slack_sdk import WebClient |
|
|
client = WebClient(token=os.environ['SLACK_TOKEN']) |
|
|
client.chat_postMessage( |
|
|
channel='#hub-model-metadata-snippets-sprint', |
|
|
text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/HuggingFaceTB_SmolLM3-3B_6.txt|HuggingFaceTB_SmolLM3-3B_6.txt>', |
|
|
) |
|
|
|
|
|
with open('HuggingFaceTB_SmolLM3-3B_6.txt', 'a', encoding='utf-8') as f: |
|
|
import traceback |
|
|
f.write('''```CODE: |
|
|
tools = [ |
|
|
{ |
|
|
"name": "get_weather", |
|
|
"description": "Get the weather in a city", |
|
|
"parameters": {"type": "object", "properties": {"city": {"type": "string", "description": "The city to get the weather for"}}}} |
|
|
] |
|
|
|
|
|
messages = [ |
|
|
{ |
|
|
"role": "user", |
|
|
"content": "Hello! How is the weather today in Copenhagen?" |
|
|
} |
|
|
] |
|
|
|
|
|
inputs = tokenizer.apply_chat_template( |
|
|
messages, |
|
|
enable_thinking=False, # True works as well, your choice! |
|
|
xml_tools=tools, |
|
|
add_generation_prompt=True, |
|
|
tokenize=True, |
|
|
return_tensors="pt" |
|
|
).to(model.device) |
|
|
|
|
|
outputs = model.generate(inputs) |
|
|
print(tokenizer.decode(outputs[0])) |
|
|
``` |
|
|
|
|
|
ERROR: |
|
|
''') |
|
|
traceback.print_exc(file=f) |
|
|
|
|
|
finally: |
|
|
from huggingface_hub import upload_file |
|
|
upload_file( |
|
|
path_or_fileobj='HuggingFaceTB_SmolLM3-3B_6.txt', |
|
|
repo_id='model-metadata/code_execution_files', |
|
|
path_in_repo='HuggingFaceTB_SmolLM3-3B_6.txt', |
|
|
repo_type='dataset', |
|
|
) |
|
|
|
