SmolVLA
is a compact, efficient vision-language-action model that achieves competitive performance at reduced computational costs and can be deployed on consumer-grade hardware.
This policy has been trained and pushed to the Hub using
LeRobot
.
See the full documentation at
LeRobot Docs
.
How to Get Started with the Model
For a complete walkthrough, see the
training guide
.
Below is the short version on how to train and run inference/eval:
lora_r64_alpha128_bf16_long_0928 huggingface.co is an AI model on huggingface.co that provides lora_r64_alpha128_bf16_long_0928's model effect (), which can be used instantly with this godnpeter lora_r64_alpha128_bf16_long_0928 model. huggingface.co supports a free trial of the lora_r64_alpha128_bf16_long_0928 model, and also provides paid use of the lora_r64_alpha128_bf16_long_0928. Support call lora_r64_alpha128_bf16_long_0928 model through api, including Node.js, Python, http.
lora_r64_alpha128_bf16_long_0928 huggingface.co is an online trial and call api platform, which integrates lora_r64_alpha128_bf16_long_0928's modeling effects, including api services, and provides a free online trial of lora_r64_alpha128_bf16_long_0928, you can try lora_r64_alpha128_bf16_long_0928 online for free by clicking the link below.
godnpeter lora_r64_alpha128_bf16_long_0928 online free url in huggingface.co:
lora_r64_alpha128_bf16_long_0928 is an open source model from GitHub that offers a free installation service, and any user can find lora_r64_alpha128_bf16_long_0928 on GitHub to install. At the same time, huggingface.co provides the effect of lora_r64_alpha128_bf16_long_0928 install, users can directly use lora_r64_alpha128_bf16_long_0928 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
lora_r64_alpha128_bf16_long_0928 install url in huggingface.co: