Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_113 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_113 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_113")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_113") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_113", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
e1ad196 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:36ddf729438d6868ffed2bc52a268f8ce14016fec8d2e36855d217c13f992360
size 5432
|