Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model192 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model192 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model192")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model192") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model192", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ea8cf0011cf97e35a07def3314144d5029a3f18ed2e40f044f1783c56546998
- Size of remote file:
- 5.37 kB
- SHA256:
- fbf326788438668a97f51eaddaec400aceeedf34b3cbcac4249bb198bb6718dd
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