Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Shunian/mbti-classification-roberta-base-aug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shunian/mbti-classification-roberta-base-aug with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shunian/mbti-classification-roberta-base-aug")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shunian/mbti-classification-roberta-base-aug") model = AutoModelForSequenceClassification.from_pretrained("Shunian/mbti-classification-roberta-base-aug") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5be2d498bfc18bccd8acd18aa3d767891d9a0bfce3d8b06082f164dcda44e328
- Size of remote file:
- 499 MB
- SHA256:
- 60ea237b1da3cf7fe2f9a35a127a6eda8280db4665434436d612f92aea486699
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