Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model299 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model299 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model299")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model299") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model299", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97fba2c6cf0f3361431670edb190b82f4b969698167c306adcd2e8c5d96e9a49
- Size of remote file:
- 5.37 kB
- SHA256:
- 9be0259bf00f12d69647b545e8c1927e3d9023325a565bebf1f0a5f3d43bef21
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