Instructions to use enriquesaou/roberta_mrqa_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enriquesaou/roberta_mrqa_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="enriquesaou/roberta_mrqa_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("enriquesaou/roberta_mrqa_v2") model = AutoModelForQuestionAnswering.from_pretrained("enriquesaou/roberta_mrqa_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80e61c67a791bc00eb0ab52becfb3501a096c2a01f8411b5cf6a199b50dabdd4
- Size of remote file:
- 5.05 kB
- SHA256:
- 78050ce8c8613cf6b1c25482e7576bca37e15990968331f77151b2449d4f5de8
路
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