Instructions to use deepset/xlm-roberta-large-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/xlm-roberta-large-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/xlm-roberta-large-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/xlm-roberta-large-squad2") model = AutoModelForQuestionAnswering.from_pretrained("deepset/xlm-roberta-large-squad2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70023af315572c31a29a77c1edc1cf65d99050f13f183da8182928ba5df982f9
- Size of remote file:
- 2.24 GB
- SHA256:
- 86a3fc213c28bce0dee91e8baab0081692327d5b42b64b478167a464885c835b
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