Instructions to use aware-ai/xlmroberta-QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aware-ai/xlmroberta-QA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="aware-ai/xlmroberta-QA")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("aware-ai/xlmroberta-QA") model = AutoModelForQuestionAnswering.from_pretrained("aware-ai/xlmroberta-QA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ed913d9b9780d686cfcb1199ff9b46f2f5d07ad7cf55a7124ffa114db335e3e
- Size of remote file:
- 4.47 GB
- SHA256:
- 762b815df382089a387cd417c1994d249a7246a4172ff82e0bf5be4a03f405f9
路
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