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
Add metadata and improve model card
#1
by nielsr HF Staff - opened
Hi! I'm Niels, part of the community science team at Hugging Face.
I've opened this PR to enhance the model card with relevant metadata to improve discoverability. This includes:
- Adding the
roboticspipeline tag to categorize the model correctly on the Hub. - Specifying the
transformerslibrary name. - Adding the
mitlicense. - Including relevant tags such as
vla,1-bit, andbitnet.
These changes help researchers and developers better navigate and utilize your artifacts on the Hugging Face Hub.
Thanks for enhancing our model card!
lxsy changed pull request status to merged