Text Classification
Transformers
ONNX
Safetensors
English
modernbert
system-1
decision-model
small-decision-model
intent-routing
agentic-router
ollama
finops
sovereign-ai
focus-1.5
s1sdk
homestead
Eval Results (legacy)
Instructions to use olanigan/HomeRouter-S1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use olanigan/HomeRouter-S1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="olanigan/HomeRouter-S1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("olanigan/HomeRouter-S1") model = AutoModelForSequenceClassification.from_pretrained("olanigan/HomeRouter-S1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download labels.json from olanigan/HomeRouter-S1: direct link, hf CLI and curl.
- Browser
- Download file 148 Bytes
-
https://huggingface.co/olanigan/HomeRouter-S1/resolve/main/labels.json
- Command line
-
hf download hf://olanigan/HomeRouter-S1/labels.json
-
curl -L -o labels.json https://huggingface.co/olanigan/HomeRouter-S1/resolve/main/labels.json
148 Bytes
| [ | |
| "bash", | |
| "edit_file", | |
| "grep_search", | |
| "read", | |
| "run_command", | |
| "tier_cloud", | |
| "tier_frontier", | |
| "tier_local", | |
| "view_file", | |
| "write" | |
| ] |