Instructions to use liam168/qa-roberta-base-chinese-extractive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liam168/qa-roberta-base-chinese-extractive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="liam168/qa-roberta-base-chinese-extractive")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("liam168/qa-roberta-base-chinese-extractive") model = AutoModelForQuestionAnswering.from_pretrained("liam168/qa-roberta-base-chinese-extractive") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot