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# /// script
# requires-python = ">=3.12"
# dependencies = [
# "numpy",
# "einops",
# "pandas",
# "matplotlib",
# "paddleorc",
# "protobuf",
# "torch",
# "sentencepiece",
# "torchvision",
# "transformers",
# "timm",
# "diffusers",
# "sentence-transformers",
# "accelerate",
# "peft",
# "slack-sdk",
# ]
# ///
try:
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("MiniMaxAI/MiniMax-M2", trust_remote_code=True, dtype="auto")
with open('MiniMaxAI_MiniMax-M2_1.txt', 'w', encoding='utf-8') as f:
f.write('Everything was good in MiniMaxAI_MiniMax-M2_1.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/MiniMaxAI_MiniMax-M2_1.txt|MiniMaxAI_MiniMax-M2_1.txt>',
)
with open('MiniMaxAI_MiniMax-M2_1.txt', 'a', encoding='utf-8') as f:
import traceback
f.write('''```CODE:
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("MiniMaxAI/MiniMax-M2", trust_remote_code=True, dtype="auto")
```
ERROR:
''')
traceback.print_exc(file=f)
finally:
from huggingface_hub import upload_file
upload_file(
path_or_fileobj='MiniMaxAI_MiniMax-M2_1.txt',
repo_id='model-metadata/code_execution_files',
path_in_repo='MiniMaxAI_MiniMax-M2_1.txt',
repo_type='dataset',
)
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