Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model294 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model294 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model294")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model294") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model294", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15aadca9c3e22e6057248e7a4907d501576ef38efa01c266b9115d9521770349
- Size of remote file:
- 5.37 kB
- SHA256:
- df6d7c549b0a09a9e5728bf28b0a0f51bd6b4bdb0ba6b8b0bf5a0c3a05529626
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