Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use simon-mellergaard/modernbert-clinc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simon-mellergaard/modernbert-clinc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="simon-mellergaard/modernbert-clinc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simon-mellergaard/modernbert-clinc") model = AutoModelForSequenceClassification.from_pretrained("simon-mellergaard/modernbert-clinc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb6bcb9813c5d077bdff70bdf54ae52dabc851895b25bb5a78055ded55767ab1
- Size of remote file:
- 5.3 kB
- SHA256:
- a9ad7a64f88e923345c2d4022eb0421727e90dfa9f27fc4e8fcc330b15375cb6
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