Text Classification
Transformers
Safetensors
PyTorch
English
modernbert
spam-detection
automation-detection
long-context
text-embeddings-inference
Instructions to use WeReCooking/ModernBERT-risk-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WeReCooking/ModernBERT-risk-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WeReCooking/ModernBERT-risk-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("WeReCooking/ModernBERT-risk-classifier") model = AutoModelForSequenceClassification.from_pretrained("WeReCooking/ModernBERT-risk-classifier") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -19,7 +19,7 @@ metrics:
|
|
| 19 |
- recall
|
| 20 |
---
|
| 21 |
|
| 22 |
-
# raga
|
| 23 |
|
| 24 |
A tiny spicy ModernBERT classifier for text-risk signals.
|
| 25 |
|
|
|
|
| 19 |
- recall
|
| 20 |
---
|
| 21 |
|
| 22 |
+
# raga - mahoraga from anime (His ability is to adapt to nature itself)
|
| 23 |
|
| 24 |
A tiny spicy ModernBERT classifier for text-risk signals.
|
| 25 |
|