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
Download pytorch_model.bin from sinu/IndoBERT-ExamQA: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/sinu/IndoBERT-ExamQA/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sinu/IndoBERT-ExamQA/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sinu/IndoBERT-ExamQA/resolve/main/pytorch_model.bin
440 MB
- Xet hash:
- 728d9f8840ab53ab3a64242596884c6a7509c084b199a8e191afb405227f42de
- Size of remote file:
- 440 MB
- SHA256:
- e6395ddb56866e5892b0410f1d9894b46f51c4ba7037e3917af3b972a3461f4a
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