Question Answering
Transformers
PyTorch
TensorBoard
English
bert
multiple-choice
Generated from Trainer
Multiple Choice
Instructions to use DunnBC22/bert-base-uncased-e_CARE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/bert-base-uncased-e_CARE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="DunnBC22/bert-base-uncased-e_CARE")# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("DunnBC22/bert-base-uncased-e_CARE") model = AutoModelForMultipleChoice.from_pretrained("DunnBC22/bert-base-uncased-e_CARE") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
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runs/Aug02_21-21-28_3a821f191617/events.out.tfevents.1691011303.3a821f191617.187.0
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