Text Classification
Transformers
PyTorch
TensorBoard
English
distilbert
wikipedia
wikidata
text-embeddings-inference
Instructions to use derenrich/psychiq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use derenrich/psychiq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="derenrich/psychiq")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("derenrich/psychiq") model = AutoModelForSequenceClassification.from_pretrained("derenrich/psychiq") - Notebooks
- Google Colab
- Kaggle
Psychiq is a model that predicts the instance or subclass of a wikipedia article. The model accepts as input 1) the list of all categories the article is in separated by newlines followed by 2) the title of the article . It makes a guess at the top 1000 most common types or returns unknown. Take a look at the examples to see what the format should look like.
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