prince-canuma / nanoVLM

huggingface.co
Total runs: 2
24-hour runs: 0
7-day runs: 2
30-day runs: 2
Model's Last Updated: June 04 2025
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Introduction of nanoVLM

Model Details of nanoVLM

nanoVLM is a minimal and lightweight Vision-Language Model (VLM) designed for efficient training and experimentation. Built using pure PyTorch, the entire model architecture and training logic fits within ~750 lines of code. It combines a ViT-based image encoder (SigLIP-B/16-224-85M) with a lightweight causal language model (SmolLM2-135M), resulting in a compact 222M parameter model.

For more information, check out the base model on https://huggingface.co/lusxvr/nanoVLM-222M .

Usage:

Clone the nanoVLM repository: https://github.com/huggingface/nanoVLM . Follow the install instructions and run the following code:

from models.vision_language_model import VisionLanguageModel

model = VisionLanguageModel.from_pretrained("prince-canuma/nanoVLM")

Runs of prince-canuma nanoVLM on huggingface.co

2
Total runs
0
24-hour runs
2
3-day runs
2
7-day runs
2
30-day runs

More Information About nanoVLM huggingface.co Model

More nanoVLM license Visit here:

https://choosealicense.com/licenses/mit

nanoVLM huggingface.co

nanoVLM huggingface.co is an AI model on huggingface.co that provides nanoVLM's model effect (), which can be used instantly with this prince-canuma nanoVLM model. huggingface.co supports a free trial of the nanoVLM model, and also provides paid use of the nanoVLM. Support call nanoVLM model through api, including Node.js, Python, http.

prince-canuma nanoVLM online free

nanoVLM huggingface.co is an online trial and call api platform, which integrates nanoVLM's modeling effects, including api services, and provides a free online trial of nanoVLM, you can try nanoVLM online for free by clicking the link below.

prince-canuma nanoVLM online free url in huggingface.co:

https://huggingface.co/prince-canuma/nanoVLM

nanoVLM install

nanoVLM is an open source model from GitHub that offers a free installation service, and any user can find nanoVLM on GitHub to install. At the same time, huggingface.co provides the effect of nanoVLM install, users can directly use nanoVLM installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

nanoVLM install url in huggingface.co:

https://huggingface.co/prince-canuma/nanoVLM

Url of nanoVLM

Provider of nanoVLM huggingface.co

prince-canuma
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