Instructions to use PruhaNLP/TurboVLA-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use PruhaNLP/TurboVLA-base with LeRobot:
# 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
TurboVLA-base for SO-100 from H-EmbodVis/TurboVLA/checkpoints/libero/turbovla_libero.pth
c15fa68 verified Download tokenizer_config.json from PruhaNLP/TurboVLA-base: direct link, hf CLI and curl.
- Browser
- Download file 351 Bytes
-
https://huggingface.co/PruhaNLP/TurboVLA-base/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://PruhaNLP/TurboVLA-base/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/PruhaNLP/TurboVLA-base/resolve/main/tokenizer_config.json
351 Bytes
| { | |
| "backend": "tokenizers", | |
| "cls_token": "[CLS]", | |
| "do_lower_case": true, | |
| "is_local": false, | |
| "local_files_only": false, | |
| "mask_token": "[MASK]", | |
| "model_max_length": 512, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "BertTokenizer", | |
| "unk_token": "[UNK]" | |
| } | |