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
- Xet hash:
- 2ab79818674df81666b6e68e2b43ccd5d99843e8a276e93f57436e89854c0746
- Size of remote file:
- 271 MB
- SHA256:
- 14d56ec391c2bc97386154e8b68430e57282eeed6489502aa04dac2af365b07e
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