Instructions to use sinu/IndoBERT-ExamQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sinu/IndoBERT-ExamQA with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="sinu/IndoBERT-ExamQA")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sinu/IndoBERT-ExamQA") model = AutoModelForQuestionAnswering.from_pretrained("sinu/IndoBERT-ExamQA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: -
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- train_batch_size: -
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- eval_batch_size: -
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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