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Tamil-RoBERTa
d42kw01f/Tamil-RoBERTa
Tamil-RoBERTa is a fill-mask model from d42kw01f. Use it when you need the model to fill a missing word. It is set up for transformers.
This is a smaller per-trained model on Tamil Language using Masked Language Modeling(MLM). And the model is trained on Oscar Tamil dataset.
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536 MB
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Nov 9, 2021
- SHA
- df391c76
Try a prompt
Model card
From the Hugging Face model README
Description:
This is a smaller per-trained model on Tamil Language using Masked Language Modeling(MLM). And the model is trained on Oscar Tamil dataset.
How to Use:
The model can be used directly with a pipeline for masked language modeling:
>>> from transformers import AutoTokenizer, AutoModelForMaskedLM, pipeline
>>> tokenizer = AutoTokenizer.from_pretrained("d42kw01f/Tamil-RoBERTa")
>>> model = AutoModelForMaskedLM.from_pretrained("d42kw01f/Tamil-RoBERTa")
>>> fill_mask = pipeline('fill-mask', model=model, tokenizer=tokenizer)
>>> fill_mask("நான் வீட்டு <mask>.")
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- Mar 2, 2022
- Updated
- Nov 9, 2021