Question Answering
Transformers
PyTorch
English
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use lauraparra28/Roberta-base-finetuned-SQuAD2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lauraparra28/Roberta-base-finetuned-SQuAD2.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="lauraparra28/Roberta-base-finetuned-SQuAD2.0")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("lauraparra28/Roberta-base-finetuned-SQuAD2.0") model = AutoModelForQuestionAnswering.from_pretrained("lauraparra28/Roberta-base-finetuned-SQuAD2.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad81842ca208f6a78c83600c356d2c25f1420846e55c8c86e497a1e7e70fc009
- Size of remote file:
- 496 MB
- SHA256:
- ea53d405a9f94cbe7c9654e9d5bb63981603ed98d77e6428b12e98947fc3c0f4
路
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