Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use jnwulff/classifier-chapter4-modernbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jnwulff/classifier-chapter4-modernbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jnwulff/classifier-chapter4-modernbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jnwulff/classifier-chapter4-modernbert") model = AutoModelForSequenceClassification.from_pretrained("jnwulff/classifier-chapter4-modernbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jnwulff/classifier-chapter4-modernbert: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/jnwulff/classifier-chapter4-modernbert/resolve/main/training_args.bin
- Command line
-
hf download hf://jnwulff/classifier-chapter4-modernbert/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jnwulff/classifier-chapter4-modernbert/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- e02d9d3f820aa45446df321ba20e4f976a7573152a8aa349d987cb6aadb46bee
- Size of remote file:
- 5.37 kB
- SHA256:
- f3193cd49603c282d2d6d4cbd9f5010790156e5961a3d92d93180e4d35d2ef0c
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