Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_202 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_202 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_202")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_202") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_202", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af7198adee093fc298ef63fba132692edc40db86840cbedec2f7a83e8ac3ca52
- Size of remote file:
- 5.43 kB
- SHA256:
- 287b390dbb32e855338651f7bfd281b2cf8e371b37943cc8ef85b494210bf194
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