Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model338 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model338 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model338")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model338") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model338", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8cbb986f2f48aa4f11ebf0dd583046a011439b623a4ac40b870e97f832cfbe2
- Size of remote file:
- 5.3 kB
- SHA256:
- b1f922ca027d2c1e12780fac970dcd3a1d03fcda1224b8c67a6ae3e2644f0a80
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