Robotics
Transformers
Safetensors
bitvla
feature-extraction
vision-language-action
vla
1-bit
bitnet
custom_code
Instructions to use lxsy/bitvla-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lxsy/bitvla-bf16 with Transformers:
# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("lxsy/bitvla-bf16", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "image_token": "<image>", | |
| "num_additional_image_tokens": 0, | |
| "patch_size": 14, | |
| "processor_class": "LlavaProcessor", | |
| "vision_feature_select_strategy": "full" | |
| } | |