Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_192 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_192 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_192")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_192") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_192", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c456d29e18d45c4fda8d14ec075aa58375370c7ef891c7f03a9f8ea19fe2568
- Size of remote file:
- 5.43 kB
- SHA256:
- 04d220107c558c5015a93c9e6aeaf798b4e318867c6600f3fd307677b6a5614c
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