Instructions to use intanm/mdeberta-squad2-webis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intanm/mdeberta-squad2-webis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="intanm/mdeberta-squad2-webis")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("intanm/mdeberta-squad2-webis") model = AutoModelForQuestionAnswering.from_pretrained("intanm/mdeberta-squad2-webis") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
pytorch_model.bin
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runs/Apr30_04-22-25_d9c8524ef685/events.out.tfevents.1682828551.d9c8524ef685.886.0
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