Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_121 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_121 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_121")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_121") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_121", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcdfd66d9fd5ba05ff8b5b616c928f328891084fa82b8f362dafbc23e2c4a899
- Size of remote file:
- 5.78 kB
- SHA256:
- 18a80b2c67a37bac2b862722d6b51ebd916d3f42cc2b5cc9d76b3a4be6dbf3b9
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