Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_080 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_080 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_080")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_080") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_080", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
13ab37a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c3cbf1ffa890021ee374d0175a0329d5fa2fd518805d62271fa26a38afadd3ae
size 1112205008
|