Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_237 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_237 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_237")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_237") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_237", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a80bbaa7c3905557251762330fde63c15527d3f9ae19d169533b306b75a5015d
- Size of remote file:
- 499 MB
- SHA256:
- bc8c84a40214a97e7b1edba796b8412345b06538eb09bfce24bcdb859355b370
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