Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use P0u4a/ModernBERT-bash-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use P0u4a/ModernBERT-bash-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="P0u4a/ModernBERT-bash-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("P0u4a/ModernBERT-bash-classifier") model = AutoModelForSequenceClassification.from_pretrained("P0u4a/ModernBERT-bash-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from P0u4a/ModernBERT-bash-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/P0u4a/ModernBERT-bash-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://P0u4a/ModernBERT-bash-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/P0u4a/ModernBERT-bash-classifier/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- aa9699799f7a0fdefbbf3b7e484be1971c372dd7a0237034484e243e2a1de923
- Size of remote file:
- 5.2 kB
- SHA256:
- 4671cf7ebca0be3e532eff7bdebbef504abf9d245eaaf4371ea6224fcbf2c0f4
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