Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use Lizeth1/ModernBERT-domain-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lizeth1/ModernBERT-domain-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lizeth1/ModernBERT-domain-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Lizeth1/ModernBERT-domain-classifier") model = AutoModelForSequenceClassification.from_pretrained("Lizeth1/ModernBERT-domain-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29f226c4a90c061cf0962e279d4d3f6814f0b16763aee998e17f71d585343d2b
- Size of remote file:
- 5.78 kB
- SHA256:
- 714a946414ffec00835a1cadd315c1d5ff6ecddeac9e644ea9ee40c2b2d22641
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