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# /// script
# requires-python = ">=3.12"
# dependencies = [
# "transformers",
# "torch",
# ]
# ///
try:
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/DeepSeek-R1", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1", trust_remote_code=True)
except Exception as e:
exception_file = 'deepseek-ai_DeepSeek-R1_1_exception.txt'
with open(exception_file, 'w') as f:
import traceback
traceback.print_exc(file=f)
# Upload exception log to HuggingFace
from huggingface_hub import upload_file
upload_file(
path_or_fileobj=exception_file,
repo_id='model-metadata/model-code-exception',
path_in_repo='18-06-25/deepseek-ai_DeepSeek-R1_1_exception.txt',
repo_type='dataset',
) |