Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_101 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_101")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_101") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_101", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a0d1b7c81451d1862354721603945440734277b54262652edc69e0b8a4e0ecc
- Size of remote file:
- 5.78 kB
- SHA256:
- 2cc974aab59e20f70b8d335c6cb2d5b2700b8cdd06bf538d1679f82d376676a0
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