phi-3-M3-coder

# /// script
# requires-python = ">=3.12"
# dependencies = [
#     "transformers",
#     "torch",
# ]
# ///

try:
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("moelanoby/phi-3-M3-coder", trust_remote_code=True)
    model = AutoModelForCausalLM.from_pretrained("moelanoby/phi-3-M3-coder", trust_remote_code=True)
except Exception as e:
    exception_file = 'moelanoby_phi-3-M3-coder_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='09-07-25/moelanoby_phi-3-M3-coder_1_exception.txt',
        repo_type='dataset',
    )