Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model154 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model154 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model154")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model154") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model154", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c81714a970cb111134e778645138f8856cbc6d0c4e6cd50000b0627c17fe20f
- Size of remote file:
- 5.37 kB
- SHA256:
- 3f77c513c07da8a8a7cb73e488688e219d8c27702a251551e273fade697a22fc
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