Question Answering
Transformers
PyTorch
Safetensors
English
roberta
optoelectronics
science
data-mining
Instructions to use Dingyun-Huang/oe-roberta-base-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dingyun-Huang/oe-roberta-base-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Dingyun-Huang/oe-roberta-base-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Dingyun-Huang/oe-roberta-base-qa") model = AutoModelForQuestionAnswering.from_pretrained("Dingyun-Huang/oe-roberta-base-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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