Instructions to use logichacker/my_awesome_swag_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use logichacker/my_awesome_swag_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("logichacker/my_awesome_swag_model") model = AutoModelForMultipleChoice.from_pretrained("logichacker/my_awesome_swag_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 869b7045122d97f7620ab955c8a3d7798639c9f54d271b2ccd81dd72c4f510fc
- Size of remote file:
- 4.6 kB
- SHA256:
- 54675c12ff342ee9c87b78badb96b0822154664e246e4fa90525aa04b77d33f6
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