Instructions to use reichenbach/bert_base_swag_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reichenbach/bert_base_swag_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("reichenbach/bert_base_swag_model") model = AutoModelForMultipleChoice.from_pretrained("reichenbach/bert_base_swag_model") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b8d11345a35b185a8ebd0624d092570ca8b9ba984fbda4be4314bcdbae1e6dfd
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size 437955572
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