Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use underscore2/modernbert_base_slop_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use underscore2/modernbert_base_slop_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="underscore2/modernbert_base_slop_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("underscore2/modernbert_base_slop_classifier") model = AutoModelForSequenceClassification.from_pretrained("underscore2/modernbert_base_slop_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from underscore2/modernbert_base_slop_classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/underscore2/modernbert_base_slop_classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://underscore2/modernbert_base_slop_classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/underscore2/modernbert_base_slop_classifier/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 411aa5ad9ec2e0c6cd3c14fdf5634c2d485d94a0052b66f5cc52293718b79656
- Size of remote file:
- 5.3 kB
- SHA256:
- f2581819c24e1c2adf42648e0a8b69fa6407d8ccd3565fa47eaabcef19b391da
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