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
Update tokenizer_config.json
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
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{"do_lower_case": false, "model_max_length": 512, "special_tokens_map_file": "germanQA/saved_models/xlm-roberta-large-squad2/special_tokens_map.json", "full_tokenizer_file": null}
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