Download DeepSeek-R1_1.py from model-metadata/custom_code_py_files: direct link, hf CLI and curl.
- Browser
- Download file 892 Bytes
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https://huggingface.co/datasets/model-metadata/custom_code_py_files/resolve/ea4e6fcaaa9adccfc5a0af2ef6fcc8f2dee41c87/DeepSeek-R1_1.py
- Command line
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hf download hf://datasets/model-metadata/custom_code_py_files@ea4e6fcaaa9adccfc5a0af2ef6fcc8f2dee41c87/DeepSeek-R1_1.py
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curl -L -o DeepSeek-R1_1.py https://huggingface.co/datasets/model-metadata/custom_code_py_files/resolve/ea4e6fcaaa9adccfc5a0af2ef6fcc8f2dee41c87/DeepSeek-R1_1.py
892 Bytes
| # /// 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) | |
| with open('DeepSeek-R1_1.txt', 'w') as f: | |
| f.write('Everything was good in DeepSeek-R1_1') | |
| except Exception as e: | |
| with open('DeepSeek-R1_1.txt', 'w') as f: | |
| import traceback | |
| traceback.print_exc(file=f) | |
| finally: | |
| from huggingface_hub import upload_file | |
| upload_file( | |
| path_or_fileobj='DeepSeek-R1_1.txt', | |
| repo_id='model-metadata/custom_code_execution_files', | |
| path_in_repo='DeepSeek-R1_1.txt', | |
| repo_type='dataset', | |
| ) |