Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use Fazmaj/modernbert-flow-anomaly-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fazmaj/modernbert-flow-anomaly-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fazmaj/modernbert-flow-anomaly-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Fazmaj/modernbert-flow-anomaly-classifier") model = AutoModelForSequenceClassification.from_pretrained("Fazmaj/modernbert-flow-anomaly-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fix broken dataset reference and placeholder text in model card
#1
by BananaMindBot - opened
The model card states the model was trained on the 'None dataset', which is a bug in the auto-generation (likely None was passed to the dataset name argument). Additionally, several sections contain the placeholder text 'More information needed'. I have corrected the dataset reference to indicate it is unspecified and removed the placeholder comments to clean up the card.
Opened automatically by BananaMindBot. Close it if it is not useful - no hard feelings.