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# /// script
# requires-python = ">=3.12"
# dependencies = [
# "torch",
# "torchvision",
# "transformers",
# "accelerate",
# "peft",
# "slack-sdk",
# ]
# ///
try:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="PokeeAI/pokee_research_7b")
messages = [
{"role": "user", "content": "Who are you?"},
]
pipe(messages)
with open('PokeeAI_pokee_research_7b_0.txt', 'w', encoding='utf-8') as f:
f.write('Everything was good in PokeeAI_pokee_research_7b_0.txt')
except Exception as e:
with open('PokeeAI_pokee_research_7b_0.txt', 'w', encoding='utf-8') as f:
import traceback
traceback.print_exc(file=f)
from slack_sdk import WebClient
client = WebClient(token=os.environ["SLACK_TOKEN"])
client.chat_postMessage(
channel=#exp-slack-alerts,
text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/PokeeAI_pokee_research_7b_0.txt|PokeeAI_pokee_research_7b_0.txt>',
thread_ts=parent_message_ts,
)
finally:
from huggingface_hub import upload_file
upload_file(
path_or_fileobj='PokeeAI_pokee_research_7b_0.txt',
repo_id='model-metadata/code_execution_files',
path_in_repo='PokeeAI_pokee_research_7b_0.txt',
repo_type='dataset',
)
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