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  - multilingual
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library_name: transformers
license: mit
license_link: https://huggingface.co/microsoft/Phi-4-mini-instruct/resolve/main/LICENSE
pipeline_tag: text-generation
tags:
  - nlp
  - code
  - openvino
  - openvino-export
widget:
  - messages:
      - role: user
        content: Can you provide ways to eat combinations of bananas and dragonfruits?
base_model: microsoft/Phi-4-mini-instruct

This model was converted to OpenVINO from microsoft/Phi-4-mini-instruct using optimum-intel via the export space.

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 OVModelForCausalLM

model_id = "Anonymous6598/Phi-4-mini-instruct-openvino"
model = OVModelForCausalLM.from_pretrained(model_id)