Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model342 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model342 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model342")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model342") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model342", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82720dbc70a02353aaf18182da97efcf16a1c9de369173eea254943891345783
- Size of remote file:
- 5.3 kB
- SHA256:
- 4ff2d4d270f7ce09cc57488b5ffd2c7014d4e4bed070f5c0c8184615d0c9b7b4
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