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
- Xet hash:
- 475806bd37bdf5cfc0850e502ac713ccb4003e420e49a7999f17c620a8538887
- Size of remote file:
- 438 MB
- SHA256:
- 147842a8e4c0fad1b6514cce8df594d099109eea7f098822b166f4709db8b29d
路
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