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)# 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
- Xet hash:
- 0ba47132d73070c00bb33003a1af0087e06dea898e9ac8c690a95859231d9f34
- Size of remote file:
- 65.9 kB
- SHA256:
- 31eae3a6bbdca78a1cd3b9ae899285c729c4cafcf9c577376f93d4e9341038ed
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