Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model152 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model152 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model152")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model152") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model152", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8efa42fcc27656bc59d353b2f6c506704523408ab5320638e4c1e7d342887de8
- Size of remote file:
- 5.37 kB
- SHA256:
- 94172f76551a840de0e234c2fa177f3d473448b8c4e131d5b9e7dd618b72ae60
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