Text Classification
Transformers
PyTorch
TensorFlow
Safetensors
bert
partypress
political science
parties
press releases
text-embeddings-inference
Instructions to use partypress/partypress-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use partypress/partypress-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="partypress/partypress-multilingual")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("partypress/partypress-multilingual") model = AutoModelForSequenceClassification.from_pretrained("partypress/partypress-multilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K