Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model280 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model280 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model280")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model280") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model280", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 534d02cdeab8e5c8b2b1604967f3108701858fce07f13e50cbdbed5acee1b7ae
- Size of remote file:
- 5.37 kB
- SHA256:
- 3ce37db3f76271884cfc407af06bfe18ed29e0ae58ad623e3a238e83a4815d96
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