Instructions to use robot-learning-group47/eval3_phase2_celeb100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robot-learning-group47/eval3_phase2_celeb100 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("robot-learning-group47/eval3_phase2_celeb100", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from robot-learning-group47/eval3_phase2_celeb100: direct link, hf CLI and curl.
- Browser
- Download file 67 Bytes
-
https://huggingface.co/robot-learning-group47/eval3_phase2_celeb100/resolve/main/processor_config.json
- Command line
-
hf download hf://robot-learning-group47/eval3_phase2_celeb100/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/robot-learning-group47/eval3_phase2_celeb100/resolve/main/processor_config.json
67 Bytes
| { | |
| "image_seq_len": 81, | |
| "processor_class": "SmolVLMProcessor" | |
| } | |