Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use UniversalCEFR/ModernBERT-base-cefr-all-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UniversalCEFR/ModernBERT-base-cefr-all-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="UniversalCEFR/ModernBERT-base-cefr-all-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("UniversalCEFR/ModernBERT-base-cefr-all-classifier") model = AutoModelForSequenceClassification.from_pretrained("UniversalCEFR/ModernBERT-base-cefr-all-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from UniversalCEFR/ModernBERT-base-cefr-all-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/UniversalCEFR/ModernBERT-base-cefr-all-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://UniversalCEFR/ModernBERT-base-cefr-all-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/UniversalCEFR/ModernBERT-base-cefr-all-classifier/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 659edf71794eab8d0bab7061f50a9a68602abc2bab26008748f3fbe447c2ddad
- Size of remote file:
- 5.37 kB
- SHA256:
- 0c78a0faa3d5a16a3e2be66e155e048769aa0b1c499080af10d5a2d6a612f879
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