Instructions to use Slimanitz/roberta-toxic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Slimanitz/roberta-toxic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Slimanitz/roberta-toxic")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Slimanitz/roberta-toxic", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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- **Developed by:** ESIEA Students
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- **Shared by [optional]:** ESIEA Students
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- **Model type:**
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- **Language(s) (NLP):**
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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- **Developed by:** ESIEA Students
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- **Shared by [optional]:** ESIEA Students
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- **Model type:** Roberta with additionnal layer to predict array of booleans
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- **Language(s) (NLP):** English
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- **Finetuned from model [optional]:** Roberta
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### Model Sources [optional]
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