Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model196 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model196 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model196")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model196") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model196", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4edc7090eabf770db154bfaf42f0a5b734c5331e1ec4cb27478086503b371e53
- Size of remote file:
- 5.37 kB
- SHA256:
- d4ea9796f4d86be4374fa46b5c8fedadb69b90d5209179644f5923ef1724ef84
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