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
File size: 129 Bytes
438dc1e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:45037496488ad8c177311652ebbef8cd5f1c0b9e32481f15b87c17f35900e1c9
size 3503
|