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:
- 9bc82ce96a2045038b66a14dfaa83b3913d4bd26eea4408aa87f6c62f09c24f2
- Size of remote file:
- 4.02 kB
- SHA256:
- a2ab1962a6f7f78d52ea2994ac2cf5ddd893ff4ff7f58de0c2ef7e3a4d413320
路
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