Text Classification
Transformers
PyTorch
Polish
English
xlm-roberta
text
sentiment
politics
text-embeddings-inference
Instructions to use eevvgg/roberta-base-sentiment-politics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eevvgg/roberta-base-sentiment-politics with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eevvgg/roberta-base-sentiment-politics")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eevvgg/roberta-base-sentiment-politics") model = AutoModelForSequenceClassification.from_pretrained("eevvgg/roberta-base-sentiment-politics") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot