Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AbdullahBarayan/ModernBERT-base-reference_AllLang2-Cefr2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbdullahBarayan/ModernBERT-base-reference_AllLang2-Cefr2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AbdullahBarayan/ModernBERT-base-reference_AllLang2-Cefr2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AbdullahBarayan/ModernBERT-base-reference_AllLang2-Cefr2") model = AutoModelForSequenceClassification.from_pretrained("AbdullahBarayan/ModernBERT-base-reference_AllLang2-Cefr2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e9ce8bba5424d059160eb0706cf6813e0cef34990dae687f5606a6edc2a37f9
- Size of remote file:
- 5.37 kB
- SHA256:
- 83d272f14f236769c7b50769270c73a9100ba7b9ad07e7e9fef83508381c85b8
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