Instructions to use anhdao69/SimpleMemVLN-R2R-RxR15deg-Window8-B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anhdao69/SimpleMemVLN-R2R-RxR15deg-Window8-B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anhdao69/SimpleMemVLN-R2R-RxR15deg-Window8-B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 433 Bytes
3c17fdd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"bf16": {"enabled": "auto"},
"train_micro_batch_size_per_gpu": "auto",
"train_batch_size": "auto",
"gradient_accumulation_steps": "auto",
"zero_force_ds_cpu_optimizer": false,
"zero_optimization": {
"stage": 2,
"overlap_comm": true,
"contiguous_gradients": true,
"reduce_bucket_size": 50000000,
"allgather_bucket_size": 50000000,
"offload_optimizer": {"device": "cpu", "pin_memory": true}
}
}
|