Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model247 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model247 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model247")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model247") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model247", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c38b713f80bb60eece11be6d0672d3b1bc2d86041faa925d9f719cdd7743901
- Size of remote file:
- 5.37 kB
- SHA256:
- e241d3a0189f4c05e846a1269f2bf917e2716790f9556e3b3153f60c81717041
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