| | --- |
| | widget: |
| | - text: "आप उनकी गणना नहीं कर सकते." |
| | datasets: |
| | - manashxml/cp_and_none_10kdataset |
| | --- |
| | |
| | # mt5 for identifying CP in Hindi or English sentence |
| | This is a fine-tuned mt5 for identifying Complex Predicate in hindi or english sentence.Given a hindi sentence as input it displays the CP present as output.If no CP is present in the sentence it displays the token none. |
| |
|
| | ## How to use |
| | You can use this model directly with a Text2Text generation pipeline: |
| |
|
| | ```python |
| | >>>from transformers import pipeline |
| | >>>cp_identifier=pipeline("text2text-generation",model="manashxml/identify_CP_hin-eng") |
| | >>>cp_identifier("आप उनकी गणना नहीं कर सकते.") |
| | [{'generated_text': 'गणना नहीं कर सकते'}] |
| | ``` |
| | ### Training data |
| | The fine-tuning task was done on the following dataset created by our team : |
| | "https://datasets-server.huggingface.co/first-rows?dataset=manashxml%2Fcp_and_none_10kdataset&config=manashxml--cp_and_none_10kdataset&split=train" |
| | |
| | ### Team Members |
| | - Manash Mishra |
| | - Aditya Parashar |
| | - Riya Tomar |
| | - Isma Anwar |
| | - Under the guidance of: |
| | - Dr. Soma Paul(IIIT Hyderabad) |
| | - Dr. Sukhada(IIT BHU) |
