# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("tiya1012/distilka_applied")
model = AutoModelForSequenceClassification.from_pretrained("tiya1012/distilka_applied")Quick Links
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Check out the documentation for more information.
code-mixed Kannada-English word-level identification trained on Kanglish dataset from ICON2022
How to use
Use the below script from your python terminal
import transformers
from transformers import AutoModelForSequenceClassification
model= AutoModelForSequenceClassification.from_pretrained("tiya1012/distilka_applied")
Training data
I used code-mixed dataset from https://sites.google.com/view/kanglishicon2022/home
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tiya1012/distilka_applied")