Instructions to use tomashs/multiple_choice_sdu_es_beto_intloss_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tomashs/multiple_choice_sdu_es_beto_intloss_2 with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForMultipleChoice_2 tokenizer = AutoTokenizer.from_pretrained("tomashs/multiple_choice_sdu_es_beto_intloss_2") model = BertForMultipleChoice_2.from_pretrained("tomashs/multiple_choice_sdu_es_beto_intloss_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f11c7bbe237077bd45921851c8bd5ac05aee09528ac3ca0eb61c904a23ae5525
- Size of remote file:
- 439 MB
- SHA256:
- 1fe2f7e6aead09b897c34e6c3bf89d9abdd06a04cebc34284faec3bea6807861
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