Instructions to use coisini9293/lingbot_pot14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coisini9293/lingbot_pot14 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("coisini9293/lingbot_pot14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from coisini9293/lingbot_pot14: direct link, hf CLI and curl.
- Browser
- Download file 1.36 kB
-
https://huggingface.co/coisini9293/lingbot_pot14/resolve/main/config.json
- Command line
-
hf download hf://coisini9293/lingbot_pot14/config.json
-
curl -L -o config.json https://huggingface.co/coisini9293/lingbot_pot14/resolve/main/config.json
1.36 kB
| { | |
| "type": "pi0", | |
| "n_obs_steps": 1, | |
| "input_features": {}, | |
| "output_features": {}, | |
| "device": "cpu", | |
| "use_amp": false, | |
| "push_to_hub": true, | |
| "repo_id": null, | |
| "private": null, | |
| "tags": null, | |
| "license": null, | |
| "pretrained_path": null, | |
| "paligemma_variant": "gemma_2b", | |
| "action_expert_variant": "gemma_300m", | |
| "dtype": "float32", | |
| "chunk_size": 50, | |
| "n_action_steps": 50, | |
| "max_state_dim": 75, | |
| "max_action_dim": 75, | |
| "num_inference_steps": 10, | |
| "time_sampling_beta_alpha": 1.5, | |
| "time_sampling_beta_beta": 1.0, | |
| "time_sampling_scale": 0.999, | |
| "time_sampling_offset": 0.001, | |
| "min_period": 0.004, | |
| "max_period": 4.0, | |
| "rtc_config": null, | |
| "image_resolution": [ | |
| 224, | |
| 224 | |
| ], | |
| "empty_cameras": 0, | |
| "normalization_mapping": { | |
| "VISUAL": "IDENTITY", | |
| "STATE": "MEAN_STD", | |
| "ACTION": "MEAN_STD" | |
| }, | |
| "gradient_checkpointing": false, | |
| "compile_model": false, | |
| "compile_mode": "max-autotune", | |
| "optimizer_lr": 2.5e-05, | |
| "optimizer_betas": [ | |
| 0.9, | |
| 0.95 | |
| ], | |
| "optimizer_eps": 1e-08, | |
| "optimizer_weight_decay": 0.01, | |
| "optimizer_grad_clip_norm": 1.0, | |
| "scheduler_warmup_steps": 1000, | |
| "scheduler_decay_steps": 30000, | |
| "scheduler_decay_lr": 2.5e-06, | |
| "tokenizer_max_length": 72 | |
| } |