Instructions to use mbartolo/roberta-large-synqa-ext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbartolo/roberta-large-synqa-ext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mbartolo/roberta-large-synqa-ext")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mbartolo/roberta-large-synqa-ext") model = AutoModelForQuestionAnswering.from_pretrained("mbartolo/roberta-large-synqa-ext") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12702ec6d22d0081b4774dd503945f7dba8fe41cd92b8c883d00aebf37f6dd89
- Size of remote file:
- 1.42 GB
- SHA256:
- e87ff84aa79d86b5e751b430bc89f6c4249b5afb5185d315fe741f5aa1013626
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.