Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_075 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_075 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_075")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_075") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_075", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1c8f786ad152e9f34dba5c55306d6a284436056adf6b7d54b9991196a09d316
- Size of remote file:
- 5.78 kB
- SHA256:
- ca0f3bea85ea215683552f371bfe6c821f4a67367bc6abca244c172f3c6ea7ca
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