Instructions to use Shunian/mbti-classification-xlnet-base-cased-augment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shunian/mbti-classification-xlnet-base-cased-augment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shunian/mbti-classification-xlnet-base-cased-augment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shunian/mbti-classification-xlnet-base-cased-augment") model = AutoModelForSequenceClassification.from_pretrained("Shunian/mbti-classification-xlnet-base-cased-augment") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot