Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_248 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_248 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_248")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_248") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_248", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d93bdf8447f430fefe3485d2b6ceabc32544a3cd5c7f2e8339978c33b25b8acc
- Size of remote file:
- 5.43 kB
- SHA256:
- 9c422a457439e835efdd5551614b44de1cdb889a3a6b11a81d7f5644ec8f0379
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