Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_006 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_006 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_006")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_006") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_006", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30fb690cc18c2e198fd5b0c35e2f7c913a68b3a9ae2b6db7b3a660422e2bd646
- Size of remote file:
- 5.78 kB
- SHA256:
- c360a5bb982fb8507c29a4acee2c4df81b3a02e4ef332db9356e13b179967879
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