Robotics
Transformers
Safetensors
openvla
feature-extraction
autopruner
libero
depth-pruning
custom_code
Instructions to use 123pyLeo/AutoPruner-OFT-Object with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 123pyLeo/AutoPruner-OFT-Object with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("123pyLeo/AutoPruner-OFT-Object", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from 123pyLeo/AutoPruner-OFT-Object: direct link, hf CLI and curl.
- Browser
- Download file 136 Bytes
-
https://huggingface.co/123pyLeo/AutoPruner-OFT-Object/resolve/main/generation_config.json
- Command line
-
hf download hf://123pyLeo/AutoPruner-OFT-Object/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/123pyLeo/AutoPruner-OFT-Object/resolve/main/generation_config.json
136 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "pad_token_id": 32000, | |
| "transformers_version": "4.40.1" | |
| } | |