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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:
>>>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)
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("manashxml/identify_CP_hin-eng") model = AutoModelForSeq2SeqLM.from_pretrained("manashxml/identify_CP_hin-eng")