Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model346 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model346 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model346")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model346") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model346", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07393c08ee937906c06446c4b03b41fa90f8b90a29f94d3159cdb443519404f0
- Size of remote file:
- 5.3 kB
- SHA256:
- 11e98904674e56dc8649f6a15a444086144cb9958a544bc5400b0a9ab9e52184
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