Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_080 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_080 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_080")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_080") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_080", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fea62b37ea65264fd220855de791b6f6774f22b8cdc70de58e6f8bc271820170
- Size of remote file:
- 5.78 kB
- SHA256:
- 08b42baa88a7332b876744b635a183dadd8274a8d0c70b2aafb3696d9b1db096
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