Instructions to use sudarshanharithas/MotionGlot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudarshanharithas/MotionGlot with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sudarshanharithas/MotionGlot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download browser/validation.json from sudarshanharithas/MotionGlot: direct link, hf CLI and curl.
- Browser
- Download file 501 Bytes
-
https://huggingface.co/sudarshanharithas/MotionGlot/resolve/main/browser/validation.json
- Command line
-
hf download hf://sudarshanharithas/MotionGlot/browser/validation.json
-
curl -L -o validation.json https://huggingface.co/sudarshanharithas/MotionGlot/resolve/main/browser/validation.json
501 Bytes
| { | |
| "gpt_max_logit_error": 0.005881309509277344, | |
| "gpt_mean_logit_error": 0.0009092636755667627, | |
| "first_prompt": "give human motion: a person walks forward<eop><toh> \n ", | |
| "first_prompt_ids": [ | |
| 26535, | |
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| 25, | |
| 257, | |
| 1048, | |
| 11114, | |
| 2651, | |
| 51681, | |
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| 220, | |
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| 220 | |
| ], | |
| "human_encoder_max_error": 0.0, | |
| "human_decoder_max_error": 0.0001373291015625, | |
| "robot_encoder_max_error": 0.0, | |
| "robot_decoder_max_error": 5.634501576423645e-08 | |
| } | |