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:
- e0767c11a0c69094d6e636edb15174309324d55472bdba7718303ab1983d855e
- Size of remote file:
- 271 MB
- SHA256:
- d4c0c7de24bd72d4ef54a504705457742b0b527cd15a879d17d890f6ef52f9d5
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