Instructions to use kiwakwok/fine-tuned-roberta-xlarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kiwakwok/fine-tuned-roberta-xlarge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="kiwakwok/fine-tuned-roberta-xlarge")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("kiwakwok/fine-tuned-roberta-xlarge") model = AutoModelForQuestionAnswering.from_pretrained("kiwakwok/fine-tuned-roberta-xlarge", device_map="auto") - Notebooks
- Google Colab
- Kaggle
This model is based on RoBERTa-xlarge (layers = 36, hidden sizes = 1536), fine tuned using the following datasets:
- CMRC2018
- DRCD
- Squad Zen v1.0
This is created for research purpose only.
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