Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model314 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model314 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model314")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model314") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model314", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 305bb9c1b1495888b14295dce910c511401a3253b5a6dea9fb9736229e075212
- Size of remote file:
- 5.37 kB
- SHA256:
- 161dcbed76c119825d7757a1e9bcc0f9b97487e8dd49865895948d9dabd6caa7
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