Instructions to use osiria/bert-italian-uncased-question-answering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osiria/bert-italian-uncased-question-answering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="osiria/bert-italian-uncased-question-answering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("osiria/bert-italian-uncased-question-answering") model = AutoModelForQuestionAnswering.from_pretrained("osiria/bert-italian-uncased-question-answering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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Testing notebook: https://huggingface.co/osiria/bert-italian-
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<h3>Quick usage</h3>
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Testing notebook: https://huggingface.co/osiria/bert-italian-uncased-question-answering/blob/main/osiria_bert_italian_uncased_qa_evaluation.ipynb
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<h3>Quick usage</h3>
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