Text Classification
Transformers
Safetensors
Czech
roberta
multi-label-classification
czech
open-government-data
document-understanding
text-embeddings-inference
Instructions to use martin0925/council-voting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use martin0925/council-voting with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="martin0925/council-voting")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("martin0925/council-voting") model = AutoModelForSequenceClassification.from_pretrained("martin0925/council-voting", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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