Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model352 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model352 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model352")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model352") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model352", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dabf7128bbd37e3d33afa25e47de3dd1aff468120cd698ec4914d0b3c920ed33
- Size of remote file:
- 5.3 kB
- SHA256:
- 2e7768c4b4d0e5cf4ebb9688cbe3e695c15f2f66ecd271704bfc46c500692da9
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