Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model208 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model208 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model208")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model208") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model208", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb3c54970411401c463da8e446879f02aaf62d3e8440709e5aee9f0c60215520
- Size of remote file:
- 5.37 kB
- SHA256:
- 841d19b6edbdca05329478382a4b21ebf68924bc3b6adc1711d9e45bc64144dc
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