Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model340 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model340 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model340")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model340") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model340", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8f42e897fa0edec80594ba13e6864a407616067a26c410a112ebd27b9984f4d
- Size of remote file:
- 5.3 kB
- SHA256:
- 38d0743e276ee1d090644ea1cda6c6ee302b216d533d897302fed4f90879b44d
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