Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_129 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_129 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_129")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_129") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_129", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51047bbc4c68003663427f74985d83479b18cd5c8f48bacb42554417b666ba5a
- Size of remote file:
- 5.78 kB
- SHA256:
- 1c43ee60d6d0c21a67b6dbbbc2e134849e39774e5e5acf637d47c2add4cb4a71
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.