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
| { | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "tokenization_tiny_log.TinyLogTokenizer", | |
| null | |
| ] | |
| }, | |
| "model_max_length": 96, | |
| "pad_token": "[PAD]", | |
| "padding_side": "right", | |
| "tokenizer_class": "TinyLogTokenizer", | |
| "truncation_side": "right", | |
| "unk_token": "[UNK]", | |
| "vocab_size": 1024 | |
| } | |