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jefson08/kha-bert model. The fill-mask task predicts the most likely token(s) to replace the [MASK] token in a given sentence.from transformers import pipeline1# Initialisation
2fill_mask = pipeline(
3 "fill-mask",
4 model="jefson08/kha-bert",
5 tokenizer='jefson08/kha-bert'
6)[MASK] token for prediction:1# Predict [MASK] token
2sentence = "Nga dei u briew u ba [MASK] bha."
3predictions = fill_mask(sentence)
4
5# Display predictions
6for prediction in predictions:
7 print(f"{prediction['sequence']} (score: {prediction['score']:.4f})")"Nga dei u briew u ba [MASK] bha."1[{'score': 0.05552137270569801,
2 'token': 668,
3 'token_str': 'kham',
4 'sequence': 'Nga dei u briew u ba kham bha.'},
5 {'score': 0.03611050173640251,
6 'token': 2318,
7 'token_str': 'kmen',
8 'sequence': 'Nga dei u briew u ba kmen bha.'},
9 {'score': 0.029321255162358284,
10 'token': 3612,
11 'token_str': 'tbit',
12 'sequence': 'Nga dei u briew u ba tbit bha.'},
13 {'score': 0.028406640514731407,
14 'token': 1860,
15 'token_str': 'ieit',
16 'sequence': 'Nga dei u briew u ba ieit bha.'},
17 {'score': 0.027690021321177483,
18 'token': 4187,
19 'token_str': 'sarong',
20 'sequence': 'Nga dei u briew u ba sarong bha.'}]jefson08/kha-bert model is fine-tuned for Khasi text tasks. It uses the fill-mask pipeline to predict and replace [MASK] tokens in sentences, providing insights into contextual language understanding.pip install transformers torch