| library_name: transformers | |
| tags: | |
| - sentence-transformers | |
| pipeline_tag: text-ranking | |
| # Model Card for Model ID | |
| <!-- Provide a quick summary of what the model is/does. --> | |
| ## Model Details | |
| ### Model Description | |
| <!-- Provide a longer summary of what this model is. --> | |
| 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:** Pongsasit Thongpramoon | |
| - **Model type:** Cross Encoder | |
| - **Language(s) (NLP):** Thai | |
| - | |
| ## How to Get Started with the Model | |
| Use the code below to get started with the model. | |
| ```python | |
| from sentence_transformers.cross_encoder import CrossEncoder | |
| model = CrossEncoder("Pongsasit/mod-th-cross-encoder") | |
| scores = model.predict([["อาหารตามสั่ง", "หมู เห็ด เป็ด ไก่"], ["อาหารตามสั่ง", "รถ เรือ เครื่องบิน จักรยาน"]]) | |
| ``` |