Instructions to use alon-albalak/xlm-roberta-large-xquad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alon-albalak/xlm-roberta-large-xquad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="alon-albalak/xlm-roberta-large-xquad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("alon-albalak/xlm-roberta-large-xquad") model = AutoModelForQuestionAnswering.from_pretrained("alon-albalak/xlm-roberta-large-xquad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aeaa666d56bab04d1cf69be0957fd6499cbd5c491107b340b17f146efae9c4ff
- Size of remote file:
- 2.24 GB
- SHA256:
- 703f7361a1aae50b0f09b9849d14473cec90621f2a6f155a93277850dce26151
路
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