metadata
base_model: microsoft/Phi-3-mini-4k-instruct
language:
- en
license: mit
license_link: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE
pipeline_tag: text-generation
tags:
- nlp
- code
- openvino
- openvino-export
inference:
parameters:
temperature: 0
widget:
- messages:
- role: user
content: Can you provide ways to eat combinations of bananas and dragonfruits?
This model was converted to OpenVINO from microsoft/Phi-3-mini-4k-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 = "emmacall/Phi-3-mini-4k-instruct-openvino"
model = OVModelForCausalLM.from_pretrained(model_id)