Zero-Shot Classification
Transformers
PyTorch
Japanese
fasttext_classification
text-classification
fastText
custom_code
Instructions to use paulhindemith/fasttext-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulhindemith/fasttext-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="paulhindemith/fasttext-classification", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("paulhindemith/fasttext-classification", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes