Instructions to use aac6fef/laya-multilingual-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use aac6fef/laya-multilingual-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir laya-multilingual-mlx aac6fef/laya-multilingual-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
| { | |
| "encoder": "jhu-clsp/mmBERT-base", | |
| "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": "rl-agent", | |
| "temperature": [ | |
| 1.0, | |
| 1.0, | |
| 1.0 | |
| ], | |
| "temperature_by_options": {}, | |
| "training": { | |
| "updates": 15987, | |
| "epochs_completed": 4, | |
| "hours": 4.97, | |
| "world_size": 1, | |
| "fine_tuned_from_checkpoint": false | |
| } | |
| } | |