Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_216 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_216 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_216")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_216") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_216", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2ee5d976bcd08c944d89d12095fb87ce1fc22d557370571b014c342ff3fd5be
- Size of remote file:
- 5.43 kB
- SHA256:
- 79a6af7a94fbbec110c0385edf176a8e558fed563ce454dbed99ee502e1ec143
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