Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AllanK24/modernBERT-Math-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AllanK24/modernBERT-Math-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AllanK24/modernBERT-Math-Classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AllanK24/modernBERT-Math-Classifier") model = AutoModelForSequenceClassification.from_pretrained("AllanK24/modernBERT-Math-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AllanK24/modernBERT-Math-Classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/AllanK24/modernBERT-Math-Classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://AllanK24/modernBERT-Math-Classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AllanK24/modernBERT-Math-Classifier/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 5c6055648794e8ed381d268e800813cfc951c4accaa9cd302fe59a9e00fdc8b6
- Size of remote file:
- 5.43 kB
- SHA256:
- 2da96d3bf7ca74903740cd520f619edc5c2ebd975d144bfb9f0d63daf3452e50
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