Instructions to use sentinelsage/arbiter-log-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sentinelsage/arbiter-log-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sentinelsage/arbiter-log-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sentinelsage/arbiter-log-classifier") model = AutoModelForSequenceClassification.from_pretrained("sentinelsage/arbiter-log-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download NOTICE from sentinelsage/arbiter-log-classifier: direct link, hf CLI and curl.
- Browser
- Download file 77 Bytes
-
https://huggingface.co/sentinelsage/arbiter-log-classifier/resolve/main/NOTICE
- Command line
-
hf download hf://sentinelsage/arbiter-log-classifier/NOTICE
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curl -L -o NOTICE https://huggingface.co/sentinelsage/arbiter-log-classifier/resolve/main/NOTICE
77 Bytes
| Arbiter | |
| Copyright 2026 Ryan Vong / Sentinel Sage | |
| https://sentinelsage.com | |