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
- Xet hash:
- d30b8009999ff286fcedaf55213319c3fdaae610e97deed0a6d71f950fd626a2
- Size of remote file:
- 17.2 MB
- SHA256:
- ae8b672e5255da8d83f02d26fe1baa7505f8b2b06dc1b29c852b2baef4b36ec3
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