Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_236 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_236 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_236")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_236") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_236", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e60722c93e99289c9eb76bf25c1d589b0fa48c92e935ce7c86704b401d1c8f35
- Size of remote file:
- 5.43 kB
- SHA256:
- 73270b226a294fb377f5ccd55a94748ced67914984db64d5006981de5f1b46c5
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