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kuppuluri/telugu_bertu
telugu_bertu is a fill-mask model from kuppuluri. Use it when you need the model to fill a missing word. It is set up for transformers.
This model is a BERT MLM model trained on Telugu. Please use it from the terminal as the web interface has encoding issues.
Downloads · 30 days
112
1% of all-time downloads
All-time downloads
9.5K
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111M
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From the Hugging Face model README
This model is a BERT MLM model trained on Telugu. Please use it from the terminal as the web interface has encoding issues.
PS: If you find my model useful, I would appreciate a note from you as it would encourage me to continue improving it and also add new models. And also, please cite my model if you are using it in your pipeline.
from transformers import AutoModelWithLMHead, AutoTokenizer, pipeline
tokenizer = AutoTokenizer.from_pretrained("kuppuluri/telugu_bertu",
clean_text=False,
handle_chinese_chars=False,
strip_accents=False,
wordpieces_prefix='##')
model = AutoModelWithLMHead.from_pretrained("kuppuluri/telugu_bertu")
fill_mask = pipeline("fill-mask", model=model, tokenizer=tokenizer)
results = fill_mask("మక్దూంపల్లి పేరుతో చాలా [MASK] ఉన్నాయి.")