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:
- 6945c150c6e44619e7b7db7e865c2c2e86a20eb68e58cf8b68c6a1b6375bfb0b
- Size of remote file:
- 3.76 MB
- SHA256:
- 6128a680a1c3df067b645db9148bff01456ad99aacf480d720e143a09b031241
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