Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_021 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_021 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_021")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_021") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_021", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ff80d0628eb32e4c805264761b3ada5aeabe071ed2c91d148fa356508c14d77
- Size of remote file:
- 711 MB
- SHA256:
- 4e981b4562cec49e679268abf942fc1a59f048a0cde2dbae18ba16b42c3a37aa
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