Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use underscore2/modernbert_large_slop_writing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use underscore2/modernbert_large_slop_writing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="underscore2/modernbert_large_slop_writing")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("underscore2/modernbert_large_slop_writing") model = AutoModelForSequenceClassification.from_pretrained("underscore2/modernbert_large_slop_writing") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e20a808891f90309a28c7f39fc88262483b0a93997f966f610b48a6f93477bf4
- Size of remote file:
- 5.37 kB
- SHA256:
- f682c937383855a38440bcb820b06b13126cc5e52221459b579d45fa5c1dffba
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.