Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_034 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_034 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_034")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_034") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_034", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a62aac84956e494dd2a1a51b08022ad93c148941198ae917fb3eb68733a1a116
- Size of remote file:
- 5.78 kB
- SHA256:
- 41faf6c62204214048fd3a8487b5c9bdd10c966d4a3530230fb312d05b02dec0
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