Instructions to use ModelTC/roberta-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/roberta-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ModelTC/roberta-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ModelTC/roberta-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("ModelTC/roberta-base-squad2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ef595688cb7278d341f8c3527f5960581f656cf591e616d398550c4ddd22ea4
- Size of remote file:
- 993 MB
- SHA256:
- add7dd77d93e5413cca793bad0173c339d7ae4c3e887dc152daeecb23119dc0c
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.