Upload cerebras_GLM-4.5-Air-REAP-82B-A12B_0.py with huggingface_hub
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cerebras_GLM-4.5-Air-REAP-82B-A12B_0.py
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@@ -22,17 +22,30 @@ try:
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with open('cerebras_GLM-4.5-Air-REAP-82B-A12B_0.txt', 'w', encoding='utf-8') as f:
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f.write('Everything was good in cerebras_GLM-4.5-Air-REAP-82B-A12B_0.txt')
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except Exception as e:
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import traceback
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finally:
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from huggingface_hub import upload_file
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upload_file(
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with open('cerebras_GLM-4.5-Air-REAP-82B-A12B_0.txt', 'w', encoding='utf-8') as f:
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f.write('Everything was good in cerebras_GLM-4.5-Air-REAP-82B-A12B_0.txt')
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except Exception as e:
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import os
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from slack_sdk import WebClient
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client = WebClient(token=os.environ['SLACK_TOKEN'])
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client.chat_postMessage(
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channel='#exp-slack-alerts',
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text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/cerebras_GLM-4.5-Air-REAP-82B-A12B_0.txt|cerebras_GLM-4.5-Air-REAP-82B-A12B_0.txt>',
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)
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with open('cerebras_GLM-4.5-Air-REAP-82B-A12B_0.txt', 'a', encoding='utf-8') as f:
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import traceback
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f.write('```CODE:
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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pipe = pipeline("text-generation", model="cerebras/GLM-4.5-Air-REAP-82B-A12B")
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messages = [
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{"role": "user", "content": "Who are you?"},
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]
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pipe(messages)
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```
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ERROR:
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')
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traceback.print_exc(file=f)
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finally:
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from huggingface_hub import upload_file
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upload_file(
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