Text Classification
Transformers
Safetensors
Laya
English
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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("S4MPL3BI4S/Coding_Decision_Agent", device_map="auto") - Laya
How to use S4MPL3BI4S/Coding_Decision_Agent with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 588 Bytes
b7da88a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | {
"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
} |