Instructions to use deepset/xlm-roberta-base-squad2-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/xlm-roberta-base-squad2-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/xlm-roberta-base-squad2-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/xlm-roberta-base-squad2-distilled") model = AutoModelForQuestionAnswering.from_pretrained("deepset/xlm-roberta-base-squad2-distilled", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5d10765c997c772edc109c1553f4d12eb642e69805727ce8c72d1275d2db3a0
- Size of remote file:
- 1.11 GB
- SHA256:
- a570d4f09042f78f8f7839062cdcd3bab6973906056b62d233ae338b034822c7
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