Text Classification
Transformers
TensorBoard
Safetensors
English
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use argilla/ModernBERT-domain-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use argilla/ModernBERT-domain-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="argilla/ModernBERT-domain-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("argilla/ModernBERT-domain-classifier") model = AutoModelForSequenceClassification.from_pretrained("argilla/ModernBERT-domain-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 536eb27cd110cc9896166fe42492a8ba66aef4f69c85a765f04b6a057cbc2783
- Size of remote file:
- 5.37 kB
- SHA256:
- 593b4c0e73ab5ec7b6b2049e8532fe4e79c644312bce0b9f4534f5e257a5174c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.