Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model145 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model145 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model145")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model145") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model145", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a660c488778e54d5bc31c1fcfcf52d089013ed6a22d245dcb56d2019812e6cab
- Size of remote file:
- 5.37 kB
- SHA256:
- 76b2d011a89486d405d64f9e836beedc099c0bf5d6ee9772cbc1ce3b9feb1f51
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