Instructions to use sankhajay/bert-base-sinhala-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sankhajay/bert-base-sinhala-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="sankhajay/bert-base-sinhala-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sankhajay/bert-base-sinhala-qa") model = AutoModelForQuestionAnswering.from_pretrained("sankhajay/bert-base-sinhala-qa") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
\n
language: si
tags:
- Sinhala
widget:
- context: "ශ්රී ලංකාව යනු ඉන්දියානු සාගරයේ පිහිටි මනරම් දුපතකි." text: "ශ්රී ලංකාව පිහිටා ඇත්තේ කොහෙද ?"
bert-base-sinhala-qa
This is a Bert-based Question Answering model for the Sinhalese language. Training is done on translated SQuAD dataset of 8k questions. Translation was done by google translated API. Evaluation is still to be done. Still fine-tuning the model.
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