Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_217 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_217 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_217")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_217") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_217", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
731a4b8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:fb3d24534e348efd86457f5cdca6666585b6ff34b0b6a20693f5132de4b9b8cf
size 5432
|