Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model341 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model341 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model341")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model341") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model341", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8091c781680a14ca854aec691f4b85cde7394f4cf77efe44e3cab1ffa9e36f1d
- Size of remote file:
- 5.3 kB
- SHA256:
- c85df58251ec105430cec9738e54e218e69e2d9d7ea6d82c643d9039c93f6eef
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