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
File size: 129 Bytes
4c18054 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:325d62ead21dca9056cdd34aa446d030d7e48e4960c66c0d45522e48d46c1381
size 5432
|