Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model135 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model135 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model135")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model135") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model135", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49f4a941ebeafa50473352e483125b3da6f5acee8fdffc1b0eca885218d942b2
- Size of remote file:
- 598 MB
- SHA256:
- 99844b00545008607f77c10f4e065a09fc308e512a9fa5ada3c015b281e88b80
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