Instructions to use roshnir/mBert-finetuned-mlqa-dev-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roshnir/mBert-finetuned-mlqa-dev-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="roshnir/mBert-finetuned-mlqa-dev-en")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("roshnir/mBert-finetuned-mlqa-dev-en") model = AutoModelForQuestionAnswering.from_pretrained("roshnir/mBert-finetuned-mlqa-dev-en") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
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