Instructions to use Shunian/mbti-classification-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shunian/mbti-classification-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shunian/mbti-classification-bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shunian/mbti-classification-bert-base-uncased") model = AutoModelForSequenceClassification.from_pretrained("Shunian/mbti-classification-bert-base-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56e89b322bdef9051cd249ea8b45d9b2f44d7f5b768c4f0725ca1cbf72e02b6f
- Size of remote file:
- 3.5 kB
- SHA256:
- 3a535a28092b0eb02ddc5aa32f05eb345eef48eb51cbcd1cff6806b3ffa44755
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