Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_241 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_241 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_241")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_241") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_241", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a646d404769443b5caa36179be7ebc17b0b4d7b023e7d4bcbbecaba302591818
- Size of remote file:
- 5.43 kB
- SHA256:
- d0785634e3f33a17be6dcff43438dce4be24510eb2cad99812121869e154fe5d
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