Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use sai17/ModernBERT-domain-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sai17/ModernBERT-domain-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sai17/ModernBERT-domain-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sai17/ModernBERT-domain-classifier") model = AutoModelForSequenceClassification.from_pretrained("sai17/ModernBERT-domain-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ec4ce33da845ebdf91663819339ec2bb1d0d9fce1a9977bb9b2aaaed9102c4a
- Size of remote file:
- 5.3 kB
- SHA256:
- 428a38ad0d9ba51192845c8fca12863daa0ba200d71f6e852301fab19516f3d1
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