Question Answering
Transformers
PyTorch
TensorBoard
English
bert
multiple-choice
Generated from Trainer
multiple_choice
Instructions to use DunnBC22/bert-base-uncased-Vitamin_C_Fact_Verification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/bert-base-uncased-Vitamin_C_Fact_Verification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="DunnBC22/bert-base-uncased-Vitamin_C_Fact_Verification")# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("DunnBC22/bert-base-uncased-Vitamin_C_Fact_Verification") model = AutoModelForMultipleChoice.from_pretrained("DunnBC22/bert-base-uncased-Vitamin_C_Fact_Verification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened about 2 months ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot