Question Answering
Transformers
PyTorch
TensorBoard
English
bert
multiple-choice
Generated from Trainer
Multiple Choice
Instructions to use DunnBC22/bert-base-uncased-Figurative_Language with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/bert-base-uncased-Figurative_Language with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="DunnBC22/bert-base-uncased-Figurative_Language")# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("DunnBC22/bert-base-uncased-Figurative_Language") model = AutoModelForMultipleChoice.from_pretrained("DunnBC22/bert-base-uncased-Figurative_Language") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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size 437959756
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