Instructions to use kiwakwok/fine-tuned-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kiwakwok/fine-tuned-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="kiwakwok/fine-tuned-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("kiwakwok/fine-tuned-roberta-base") model = AutoModelForQuestionAnswering.from_pretrained("kiwakwok/fine-tuned-roberta-base") - Notebooks
- Google Colab
- Kaggle
This model is based on RoBERTa-base (layers = 12, hidden sizes = 768), fine tuned using the following datasets:
- CMRC2018
- DRCD
- Squad Zen v1.0
This is created for research purpose only.
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