Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_113 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_113 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_113")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_113") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_113", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e630b1995751a6b5a23c93b1d29cba0f2c904ac4e085b2390eef8949db3abea4
- Size of remote file:
- 2.24 GB
- SHA256:
- 9bf551a22a0a70f9dbc19bc1c87297ab1a805cb69c66a88ce0db8221ee45a2a8
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