Text Classification
Transformers
Safetensors
truetype_system_one
feature-extraction
custom_code
gemma4
typed-decisions
Instructions to use stephenlb/system-one-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stephenlb/system-one-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="stephenlb/system-one-model", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stephenlb/system-one-model", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 228 Bytes
347abca | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"bos_token_id": 2,
"do_sample": true,
"eos_token_id": 1,
"pad_token_id": 0,
"suppress_tokens": [
258883,
258882
],
"temperature": 1.0,
"top_k": 64,
"top_p": 0.95,
"transformers_version": "5.17.0"
}
|