Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_033 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_033 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_033")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_033") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_033", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 855dad93cd5506d44f1e4db5ad7affe6bca42fb16624405340fa1bc9404218d6
- Size of remote file:
- 5.78 kB
- SHA256:
- 703acc0d8f86c84ac2a654de4b370b7f039581ab773d12ac58c8c09dd2bf6d31
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