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:
- 0f9271c06146c27be3b90832c817478b4ff52f986667a5227b532df1430080e1
- Size of remote file:
- 496 MB
- SHA256:
- 6a857a7484193480d1601ded205d76f2c7fa7ba2537b9e28f7ca2564f2fa2f0c
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.