Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model169 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model169 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model169")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model169") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model169", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bfff99c576e35ce3b3a7c5e1b456496899dfaaea1ec690f14cdcc48e0fb5994
- Size of remote file:
- 5.37 kB
- SHA256:
- ebd5dedd6cc1a4748a3702c86d4e3d109dced525c9fdac5dc40e7a0b380b7568
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