echarlaix/SmolVLM2-500M-Video-Instruct-openvino-8bit-woq

🤗 Hugging Face 来源image-text-to-textapache-2.0509 MBother✓ 3 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo echarlaix/SmolVLM2-500M-Video-Instruct-openvino-8bit-woq ./model-folder
需要做种者 →

This model is a quantized version of HuggingFaceTB/SmolVLM2-500M-Video-Instruct and is converted to the OpenVINO format. This model was obtained via the nncf-quantization space with optimum-intel.

First make sure you have optimum-intel installed:

pip install optimum[openvino]

To load your model you can do as follows:

from optimum.intel import OVModelForVisualCausalLM

model_id = "echarlaix/SmolVLM2-500M-Video-Instruct-openvino-8bit-woq-data-free"
model = OVModelForVisualCausalLM.from_pretrained(model_id)