Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_040 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_040 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_040")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_040") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_040", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1760a988211e9c053be45c0d55edf01d5a8da269573547ad43d2cfcfa795a38
- Size of remote file:
- 5.78 kB
- SHA256:
- 15fd120aea00d818b1e16f2d4dfb30d0d7eaff94a22505990423677dc567cae4
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