README.md

metadata

license: mit
datasets:
  - databricks/databricks-dolly-15k
language:
  - en
tags:
  - openvino
pipeline_tag: text-generation

databricks/dolly-v2-3b

This is the databricks/dolly-v2-3b model converted to OpenVINO, for accellerated inference.

An example of how to do inference on this model:

from optimum.intel.openvino import OVModelForCausalLM
from transformers import AutoTokenizer, pipeline

# model_id should be set to either a local directory or a model available on the HuggingFace hub.
model_id = "katuni4ka/dolly-v2-3b-ov"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = OVModelForCausalLM.from_pretrained(model_id)
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
result = pipe("hello world")
print(result)

More detailed example how to use model in instruction following scenario, can be found in this notebook