Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model151 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model151 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model151")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model151") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model151", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77daf0b8b8d26fb12957b99c60219136145781f09af6c4226a3de58eb014f833
- Size of remote file:
- 5.37 kB
- SHA256:
- 692070b64f6a095282719ddc816a7a02f38349ea8fb5fbc3bb72bbfc61fb1c7a
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