Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_042 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_042 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_042")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_042") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_042", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 071f60649194d9dd3af26071b4a4b58fbd5cea896400d3ce9db5b36e540e790d
- Size of remote file:
- 5.78 kB
- SHA256:
- c760cce77937faea22f2ca620bcaa858bda712f73e71db741abbac16395e9da8
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