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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("lxsy/bitvla-bf16", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 170 Bytes
149e4dc | 1 2 3 4 5 6 7 8 | {
"image_token": "<image>",
"num_additional_image_tokens": 0,
"patch_size": 14,
"processor_class": "LlavaProcessor",
"vision_feature_select_strategy": "full"
}
|