Question Answering
Transformers
TensorFlow
Indonesian
English
bert
IndoBERT
IndoBenchmark
generated_from_keras_callback
Instructions to use Rifky/IndoBERT-Large-P2-QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rifky/IndoBERT-Large-P2-QA 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="Rifky/IndoBERT-Large-P2-QA")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Rifky/IndoBERT-Large-P2-QA") model = AutoModelForQuestionAnswering.from_pretrained("Rifky/IndoBERT-Large-P2-QA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#1 opened about 3 years ago
by
librarian-bot