Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_077 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_077 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_077")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_077") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_077", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e56814a7359a707e041b5321f678cb86d2f088db48520f24910f54470297088f
- Size of remote file:
- 5.78 kB
- SHA256:
- 506f7ddd0f5fdc12fb3af65ae140d583afe8b602864039381c3f39c0ce55f5ec
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