Instructions to use deepset/xlm-roberta-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/xlm-roberta-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/xlm-roberta-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/xlm-roberta-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("deepset/xlm-roberta-base-squad2") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ba6f9cbcc9fc7444bf94170dd0b172c1a0c44bbc15e0f6b0d2d4e9db561bae7
- Size of remote file:
- 1.11 GB
- SHA256:
- faeaac92ea0e658d5f7a34a8cc42280a2261e500c647cffb37cee7e3836025bd
路
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