Instructions to use emny/cdqa-indobert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emny/cdqa-indobert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="emny/cdqa-indobert")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("emny/cdqa-indobert") model = AutoModelForQuestionAnswering.from_pretrained("emny/cdqa-indobert") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Details of cdqa-indobert (from their documentation)
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## Details of the downstream task (Q&A) - Dataset
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The dataset contains information about Binus Admission. The data was collected from the Binus university’s admissions office for applicants who applied during the years 2020, 2021, and 2022. This dataset is provided to support researchers, especially in the field of natural language processing using the Indonesian language, and is not intended for commercialization purposes.
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The model was trained on a Tesla A100 GPU and 12GB of RAM.
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## Results:
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| Metric | # Value
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| **P** | **70.
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| **R** | **74.
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| **F1** | **72.
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## Simple Usage
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```py
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## Details of cdqa-indobert (from their documentation)
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[cdqa-indobert]://huggingface.co/emny/cdqa-indobert) is the Indonesian version of BERT model. We train the model using over 2M words, aggregated from three main sources:
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## Details of the downstream task (Q&A) - Dataset
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The dataset contains information about Binus Admission. The data was collected from the Binus university’s admissions office for applicants who applied during the years 2020, 2021, and 2022. This dataset is provided to support researchers, especially in the field of natural language processing using the Indonesian language, and is not intended for commercialization purposes.
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The model was trained on a Tesla A100 GPU and 12GB of RAM.
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## Results:
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| Metric | # Value |
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| **P** | **70.7** |
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| **R** | **74.1** |
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| **F1** | **72.1** |
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## Simple Usage
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```py
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