Text Classification
Transformers
Safetensors
English
laya
modernbert
rlcd
code-review
tool-calling
llm-routing
calibrated-decisions
Instructions to use S4MPL3BI4S/Coding_Decision_Agent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use S4MPL3BI4S/Coding_Decision_Agent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="S4MPL3BI4S/Coding_Decision_Agent")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("S4MPL3BI4S/Coding_Decision_Agent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download benchmark_report.json from S4MPL3BI4S/Coding_Decision_Agent: direct link, hf CLI and curl.
- Browser
- Download file 26.7 kB
-
https://huggingface.co/S4MPL3BI4S/Coding_Decision_Agent/resolve/main/benchmark_report.json
- Command line
-
hf download hf://S4MPL3BI4S/Coding_Decision_Agent/benchmark_report.json
-
curl -L -o benchmark_report.json https://huggingface.co/S4MPL3BI4S/Coding_Decision_Agent/resolve/main/benchmark_report.json
26.7 kB
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