Text Classification
Transformers
Safetensors
English
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AbdullahBarayan/ModernBERT-base-doc_sent_en-Cefr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbdullahBarayan/ModernBERT-base-doc_sent_en-Cefr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AbdullahBarayan/ModernBERT-base-doc_sent_en-Cefr")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AbdullahBarayan/ModernBERT-base-doc_sent_en-Cefr") model = AutoModelForSequenceClassification.from_pretrained("AbdullahBarayan/ModernBERT-base-doc_sent_en-Cefr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AbdullahBarayan/ModernBERT-base-doc_sent_en-Cefr: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/AbdullahBarayan/ModernBERT-base-doc_sent_en-Cefr/resolve/main/training_args.bin
- Command line
-
hf download hf://AbdullahBarayan/ModernBERT-base-doc_sent_en-Cefr/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/AbdullahBarayan/ModernBERT-base-doc_sent_en-Cefr/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 8908a30463a3c2bd28e2719889faf218a1fa314fc9b6329e2f49ed07736ffe52
- Size of remote file:
- 5.37 kB
- SHA256:
- cecb5752f59ee6f2c80ea0b4a734e6417b1a42aa94702d0d99203abb445c90d4
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