Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_236 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_236 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_236")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_236") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_236", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffbaa05c2f4c4c549a3e30e04ed003e9c88d3af53b2e477f3a04efadb0a506ea
- Size of remote file:
- 5.43 kB
- SHA256:
- e25afc8f29618568d82e184229fb1913be275cad7f6cbd232f36245150e6d077
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