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 rl_agent_config.json from S4MPL3BI4S/Coding_Decision_Agent: direct link, hf CLI and curl.
- Browser
- Download file 588 Bytes
-
https://huggingface.co/S4MPL3BI4S/Coding_Decision_Agent/resolve/main/rl_agent_config.json
- Command line
-
hf download hf://S4MPL3BI4S/Coding_Decision_Agent/rl_agent_config.json
-
curl -L -o rl_agent_config.json https://huggingface.co/S4MPL3BI4S/Coding_Decision_Agent/resolve/main/rl_agent_config.json
588 Bytes
| { | |
| "encoder": "answerdotai/ModernBERT-large", | |
| "head_layers": 2, | |
| "max_len": 2048, | |
| "head_max_len": 320, | |
| "max_prefixes": 6, | |
| "act_costs": { | |
| "escalate": 0.5 | |
| }, | |
| "cost_wrong_act": 3.0, | |
| "amp_dtype": "bf16", | |
| "model_name": "coding-decision-agent", | |
| "temperature": [ | |
| 1.116161, | |
| 1.091507, | |
| 1.2 | |
| ], | |
| "training": { | |
| "updates": 7313, | |
| "epochs_completed": 1, | |
| "hours": 1.96, | |
| "world_size": 1, | |
| "fine_tuned_from_checkpoint": true | |
| }, | |
| "gradient_checkpointing": false, | |
| "max_tokens_per_batch": 16384, | |
| "fine_tuned": true, | |
| "head_max_len_train": 320 | |
| } |