Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_035 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_035 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_035")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_035") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_035", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8d788cba71f6640541f247076d67d1ffe0dfac79087bf7314b06e41a7ce95f8
- Size of remote file:
- 5.78 kB
- SHA256:
- 18586228ed417936b13aa36d93f34bea69fb632baaf794ebe14ec0a506bba969
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