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--- |
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license: mit |
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datasets: |
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- databricks/databricks-dolly-15k |
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language: |
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- en |
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tags: |
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- openvino |
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pipeline_tag: text-generation |
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--- |
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# databricks/dolly-v2-3b |
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This is the [databricks/dolly-v2-3b](https://huggingface.co/databricks/dolly-v2-3b) model converted to [OpenVINO](https://openvino.ai), for accellerated inference. |
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An example of how to do inference on this model: |
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```python |
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from optimum.intel.openvino import OVModelForCausalLM |
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from transformers import AutoTokenizer, pipeline |
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# model_id should be set to either a local directory or a model available on the HuggingFace hub. |
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model_id = "katuni4ka/dolly-v2-3b-ov" |
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tokenizer = AutoTokenizer.from_pretrained(model_id) |
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model = OVModelForCausalLM.from_pretrained(model_id) |
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pipe = pipeline("text-generation", model=model, tokenizer=tokenizer) |
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result = pipe("hello world") |
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print(result) |
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``` |
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More detailed example how to use model in instruction following scenario, can be found in this [notebook](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/240-dolly-2-instruction-following) |
