Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Shunian/mbti-classification-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shunian/mbti-classification-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shunian/mbti-classification-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shunian/mbti-classification-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("Shunian/mbti-classification-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0116bb00b242900caa23e3b09bbe3420d69f00f1d93ad0ad64ba8349bd9b6731
- Size of remote file:
- 3.5 kB
- SHA256:
- 45037496488ad8c177311652ebbef8cd5f1c0b9e32481f15b87c17f35900e1c9
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