Text Classification
Transformers
Safetensors
English
roberta
ai-text-detection
voight-kampff
pan-2025
text-embeddings-inference
Instructions to use protagonist/roberta-eloquent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use protagonist/roberta-eloquent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="protagonist/roberta-eloquent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("protagonist/roberta-eloquent") model = AutoModelForSequenceClassification.from_pretrained("protagonist/roberta-eloquent") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35cd1285b46cb75710f8a1fcc5c750a8e3294ce4bf4985569dbd5e8cc18ce1f4
- Size of remote file:
- 5.33 kB
- SHA256:
- e7052065373bb2091a19bb51e233a2d3a7d592f54c84ea07ea2cc84c77414c86
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