Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_020 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_020 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_020")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_020") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_020", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bfad1f76079b67fc1d4a8ee638636fc3badef408b62e6d391e1e039b3f9beda
- Size of remote file:
- 5.78 kB
- SHA256:
- c6f99e1d414af5cad7b83277c5838a823a7e6be532cef50e86537cb214f0a691
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