Instructions to use ZTamas/hubert-qa-milqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZTamas/hubert-qa-milqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ZTamas/hubert-qa-milqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ZTamas/hubert-qa-milqa") model = AutoModelForQuestionAnswering.from_pretrained("ZTamas/hubert-qa-milqa") - Notebooks
- Google Colab
- Kaggle
This model is a fine-tuned version of mcsabai/huBert-fine-tuned-hungarian-squadv1 on the milqa dataset.
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