Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use adobe-codemay2025/ModernBERT-base_Toxic_comment_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adobe-codemay2025/ModernBERT-base_Toxic_comment_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adobe-codemay2025/ModernBERT-base_Toxic_comment_detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adobe-codemay2025/ModernBERT-base_Toxic_comment_detector") model = AutoModelForSequenceClassification.from_pretrained("adobe-codemay2025/ModernBERT-base_Toxic_comment_detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c798aedea76c2fb5aa5daaca8bae0c43573377cd16b3ea8f8cc11311a9591d43
- Size of remote file:
- 5.43 kB
- SHA256:
- 325d62ead21dca9056cdd34aa446d030d7e48e4960c66c0d45522e48d46c1381
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