Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_044 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_044 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_044")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_044") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_044", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 052780bec01a76181a2ac30dd12fa5b852e568a98beea6a94e1b1b714723ad30
- Size of remote file:
- 5.78 kB
- SHA256:
- c3ca617d29e026515e391ef8cafb2139bf36f0d45704f837772e4b94e3b61206
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