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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 338e78daa3889799e582c17d8498dadcf58320246309cd8fdf16e44a24db49a7
- Size of remote file:
- 1.58 GB
- SHA256:
- 20a62ffe2b321af5baae067c353a5510b9ccc2fd463d13ee31e6b04eaccc13fb
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