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:
- a814e5b76fc6517a880fcdc621b93dae5628013e5c35942f9d9595e70e3abfc2
- Size of remote file:
- 5.33 kB
- SHA256:
- 22bf4ec814a257c2555e5380ce24242a028a8ebc85d6c2dc51fc9cb1d8e52518
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