Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model129 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model129 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model129")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model129") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model129", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbb183ad3a7a4026fd1119d14c0a9c98c9bfba2d7e7a113fbc85f2505a31aa40
- Size of remote file:
- 5.37 kB
- SHA256:
- a276ad274e0fb195bff69d2436026fdccbb364ea09c1d3af4fdda38c7c0b354b
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