--- library_name: transformers tags: [] widget: - text: "summarize: void __fastcall __noreturn (int a1, int a2, char a3, __int64 a4, __int64 a5)\n{\n __int64 v5; // rdi\n int v6; // ebx\n const char *v9; // rsi\n char *v10; // r12\n char *v11; // r13\n char *v12; // rax\n char v13[42]; // [rsp+Eh] [rbp-2Ah] BYREF\n\n v5 = (unsigned int)(a1 - 1);\n v6 = status;\n if ( (unsigned int)v5 <= 3 )\n {\n v9 = (&off_413A60)[v5];\n if ( a2 < 0 )\n {\n v13[0] = a3;\n v11 = v13;\n v10 = &asc_412691[-a2];\n v13[1] = 0;\n }\n else\n {\n v10 = \"--\";\n v11 = *(char **)(a4 + 32LL * a2);\n }\n v12 = dcgettext(0LL, v9, 5);\n error(v6, 0, v12, v10, v11, a5);\n abort();\n }\n abort();\n}\n" example_title: "Summarize" - text: "identifier_predict: void __fastcall __noreturn (int a1, int a2, char a3, __int64 a4, __int64 a5)\n{\n __int64 v5; // rdi\n int v6; // ebx\n const char *v9; // rsi\n char *v10; // r12\n char *v11; // r13\n char *v12; // rax\n char v13[42]; // [rsp+Eh] [rbp-2Ah] BYREF\n\n v5 = (unsigned int)(a1 - 1);\n v6 = status;\n if ( (unsigned int)v5 <= 3 )\n {\n v9 = (&off_413A60)[v5];\n if ( a2 < 0 )\n {\n v13[0] = a3;\n v11 = v13;\n v10 = &asc_412691[-a2];\n v13[1] = 0;\n }\n else\n {\n v10 = \"--\";\n v11 = *(char **)(a4 + 32LL * a2);\n }\n v12 = dcgettext(0LL, v9, 5);\n error(v6, 0, v12, v10, v11, a5);\n abort();\n }\n abort();\n}\n" example_title: "Identifier Predict" inference: parameters: max_new_tokens: 250 truncation: true input_format: summary_prediction: "summarize: " identifier_prediction: "identifier_predict: " --- # Model Card for Model ID ## Model Details ### Model Description This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses ### Direct Use [More Information Needed] ### Downstream Use [optional] [More Information Needed] ### Out-of-Scope Use [More Information Needed] ## Bias, Risks, and Limitations [More Information Needed] ### Recommendations Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data [More Information Needed] ### Training Procedure #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] #### Speeds, Sizes, Times [optional] [More Information Needed] ## Evaluation ### Testing Data, Factors & Metrics #### Testing Data [More Information Needed] #### Factors [More Information Needed] #### Metrics [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] [More Information Needed] ## Environmental Impact Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]