Instructions to use SEBIS/code_trans_t5_base_source_code_summarization_csharp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SEBIS/code_trans_t5_base_source_code_summarization_csharp with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="SEBIS/code_trans_t5_base_source_code_summarization_csharp")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_base_source_code_summarization_csharp") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_base_source_code_summarization_csharp") - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
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by lbourdois - opened
README.md
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tags:
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- summarization
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language: code
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- text: public static DateTime ParseUnixDateTime ( double unixTime ) { var dt = new
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DateTime ( CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER
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, CODE_INTEGER , CODE_INTEGER , System . DateTimeKind . Utc ) ; dt = dt . AddSeconds
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( unixTimeStamp ) . ToLocalTime ( ) ; return dt ; }
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