Text Classification
Transformers
Safetensors
PyTorch
English
tiny_log_classifier
cybersecurity
blue-team
log-analysis
custom-code
custom_code
Instructions to use mozarilla/tiny-blue-log-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mozarilla/tiny-blue-log-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mozarilla/tiny-blue-log-classifier", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("mozarilla/tiny-blue-log-classifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download requirements-runtime.txt from mozarilla/tiny-blue-log-classifier: direct link, hf CLI and curl.
- Browser
- Download file 39 Bytes
-
https://huggingface.co/mozarilla/tiny-blue-log-classifier/resolve/main/requirements-runtime.txt
- Command line
-
hf download hf://mozarilla/tiny-blue-log-classifier/requirements-runtime.txt
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curl -L -o requirements-runtime.txt https://huggingface.co/mozarilla/tiny-blue-log-classifier/resolve/main/requirements-runtime.txt
39 Bytes
| transformers>=4.45,<6 | |
| safetensors>=0.4 | |