Instructions to use mbeck/roberta-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbeck/roberta-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mbeck/roberta-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mbeck/roberta-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("mbeck/roberta-base-squad2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d67dff6cb22216fe1ddc76ed70e89a0e6a97d7ea8403ecdcccd8eeced0fdbe7c
- Size of remote file:
- 496 MB
- SHA256:
- d2c5d07c1550412226c5560cab9bb9f2e32c136942bcea8f0121ecad84eff3f8
路
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