Transformers
Safetensors
Laya
enterprise-reflex
enterprise-reflux-laya
system-one
rlcd
dynamic-actions
calibrated-decisions
Instructions to use yasserrmd/enterprise-reflux-laya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yasserrmd/enterprise-reflux-laya with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yasserrmd/enterprise-reflux-laya", device_map="auto") - Laya
How to use yasserrmd/enterprise-reflux-laya 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
Download rl_agent_config.json from yasserrmd/enterprise-reflux-laya: direct link, hf CLI and curl.
- Browser
- Download file 777 Bytes
-
https://huggingface.co/yasserrmd/enterprise-reflux-laya/resolve/main/rl_agent_config.json
- Command line
-
hf download hf://yasserrmd/enterprise-reflux-laya/rl_agent_config.json
-
curl -L -o rl_agent_config.json https://huggingface.co/yasserrmd/enterprise-reflux-laya/resolve/main/rl_agent_config.json
777 Bytes
| { | |
| "encoder": "answerdotai/ModernBERT-large", | |
| "head_layers": 2, | |
| "max_len": 1024, | |
| "head_max_len": 256, | |
| "max_prefixes": 6, | |
| "act_costs": { | |
| "escalate": 0.5 | |
| }, | |
| "cost_wrong_act": 3.0, | |
| "amp_dtype": "bf16", | |
| "model_name": "enterprise-reflux-laya", | |
| "temperature": [ | |
| 3.50919508934021, | |
| 1.0, | |
| 1.0 | |
| ], | |
| "temperature_by_options": {}, | |
| "training": { | |
| "recipe": "Laya RLCD + soft CE", | |
| "base_model": "convaiinnovations/laya", | |
| "epochs": 4, | |
| "updates": 3696, | |
| "encoder_lr": 2.5e-05, | |
| "head_lr": 0.0001, | |
| "group_size": 4, | |
| "sigma_start": 0.4, | |
| "sigma_end": 0.1, | |
| "v1_train_repeat": 2, | |
| "calibration_held_out_before_training": true | |
| }, | |
| "gradient_checkpointing": true, | |
| "max_tokens_per_batch": 4096, | |
| "fine_tuned": true | |
| } |