How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("fill-mask", model="cjvt/roberta-en-hi-codemixed")
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("cjvt/roberta-en-hi-codemixed")
model = AutoModelForMaskedLM.from_pretrained("cjvt/roberta-en-hi-codemixed")
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en-hi-codemixed

This is a masked language model, based on the CamemBERT model architecture. en-hi-codemixed model was trained from scratch on English, Hindi, and codemixed English-Hindi corpora for 40 epochs. The corpora used consists of primarily web crawled data, including codemixed tweets, and focuses on conversational language and covid-19 pandemic.

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