Text Classification
Transformers
Safetensors
English
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use HyperX-Sentience/RogueBERT-Toxicity-85K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HyperX-Sentience/RogueBERT-Toxicity-85K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HyperX-Sentience/RogueBERT-Toxicity-85K")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HyperX-Sentience/RogueBERT-Toxicity-85K") model = AutoModelForSequenceClassification.from_pretrained("HyperX-Sentience/RogueBERT-Toxicity-85K", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f87a863d62523760978e686fa3515e9e0479a6fd6d487ef9feed6666eb3d97f9
- Size of remote file:
- 5.3 kB
- SHA256:
- d17a098c9d38e5e624719bd09d87f5945229633fcacdb1cdce0a9d0bce06cd99
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