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
File size: 379 Bytes
b1b2f5e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"backend": "tokenizers",
"clean_up_tokenization_spaces": true,
"cls_token": "[CLS]",
"is_local": false,
"local_files_only": true,
"mask_token": "[MASK]",
"model_input_names": [
"input_ids",
"attention_mask"
],
"model_max_length": 8192,
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"tokenizer_class": "TokenizersBackend",
"unk_token": "[UNK]"
}
|