Instructions to use stevemobs/deberta-base-newsqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stevemobs/deberta-base-newsqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="stevemobs/deberta-base-newsqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("stevemobs/deberta-base-newsqa") model = AutoModelForQuestionAnswering.from_pretrained("stevemobs/deberta-base-newsqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
pytorch_model.bin
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runs/May29_06-31-06_e9588da3a3fa/events.out.tfevents.1653805994.e9588da3a3fa.82.0
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