Instructions to use rooftopcoder/roberta-base-coqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rooftopcoder/roberta-base-coqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="rooftopcoder/roberta-base-coqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/roberta-base-coqa") model = AutoModelForQuestionAnswering.from_pretrained("rooftopcoder/roberta-base-coqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d25b565aecb0b9e6f943c2769530336f051a251c31dbf4360bf0243caa56908d
- Size of remote file:
- 3.96 kB
- SHA256:
- d0cf79909278cb3deb06474f78105a3ddccab0b96c4c17cb07ea0a89edac306f
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.