Download phi-3-M3-coder_0.py from model-metadata/custom_code_py_files: direct link, hf CLI and curl.
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- Download file 893 Bytes
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https://huggingface.co/datasets/model-metadata/custom_code_py_files/resolve/4220d7a4d2c6dbbb47eaa8e19720cfaefacb99bc/phi-3-M3-coder_0.py
- Command line
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hf download hf://datasets/model-metadata/custom_code_py_files@4220d7a4d2c6dbbb47eaa8e19720cfaefacb99bc/phi-3-M3-coder_0.py
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curl -L -o phi-3-M3-coder_0.py https://huggingface.co/datasets/model-metadata/custom_code_py_files/resolve/4220d7a4d2c6dbbb47eaa8e19720cfaefacb99bc/phi-3-M3-coder_0.py
893 Bytes
| # /// script | |
| # requires-python = ">=3.12" | |
| # dependencies = [ | |
| # "transformers", | |
| # "torch", | |
| # ] | |
| # /// | |
| try: | |
| # Use a pipeline as a high-level helper | |
| from transformers import pipeline | |
| pipe = pipeline("text-generation", model="moelanoby/phi-3-M3-coder", trust_remote_code=True) | |
| messages = [ | |
| {"role": "user", "content": "Who are you?"}, | |
| ] | |
| pipe(messages) | |
| with open('phi-3-M3-coder_0.txt', 'w') as f: | |
| f.write('Everything was good in phi-3-M3-coder_0') | |
| except Exception as e: | |
| with open('phi-3-M3-coder_0.txt', 'w') as f: | |
| import traceback | |
| traceback.print_exc(file=f) | |
| finally: | |
| from huggingface_hub import upload_file | |
| upload_file( | |
| path_or_fileobj='phi-3-M3-coder_0.txt', | |
| repo_id='model-metadata/custom_code_execution_files', | |
| path_in_repo='phi-3-M3-coder_0.txt', | |
| repo_type='dataset', | |
| ) |