Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use fdaudens/ModernBERT-hf-posts-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fdaudens/ModernBERT-hf-posts-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fdaudens/ModernBERT-hf-posts-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fdaudens/ModernBERT-hf-posts-classifier") model = AutoModelForSequenceClassification.from_pretrained("fdaudens/ModernBERT-hf-posts-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff812731655cc179d53f474cde9ee8e4854d34b7ce6935c89fd70f6e9373a7f7
- Size of remote file:
- 5.43 kB
- SHA256:
- 5983e78a5685ba246eebf21567d7c1d991c08353ae5bdddfc6ed13b17bc92b78
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