| license: mit | |
| library_name: transformers | |
| datasets: | |
| - PrimeIntellect/verifiable-coding-problems | |
| - likaixin/TACO-verified | |
| - livecodebench/code_generation_lite | |
| language: | |
| - en | |
| base_model: agentica-org/DeepCoder-1.5B-Preview | |
| pipeline_tag: text-generation | |
| tags: | |
| - openvino | |
| - openvino-export | |
| This model was converted to OpenVINO from [`agentica-org/DeepCoder-1.5B-Preview`](https://huggingface.co/agentica-org/DeepCoder-1.5B-Preview) using [optimum-intel](https://github.com/huggingface/optimum-intel) | |
| via the [export](https://huggingface.co/spaces/echarlaix/openvino-export) space. | |
| First make sure you have optimum-intel installed: | |
| ```bash | |
| pip install optimum[openvino] | |
| ``` | |
| To load your model you can do as follows: | |
| ```python | |
| from optimum.intel import OVModelForCausalLM | |
| model_id = "themightywolfie/DeepCoder-1.5B-Preview-openvino" | |
| model = OVModelForCausalLM.from_pretrained(model_id) | |
| ``` | |