Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_039 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_039 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_039")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_039") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_039", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
7d50e2c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:84c25150166126af04881b103e7adcd25a1e023f4adf41e20a668a3fefe3851f
size 5777
|