|
--- |
|
license: bsd-3-clause |
|
license_link: https://choosealicense.com/licenses/bsd-3-clause/ |
|
base_model: |
|
- Salesforce/codegen-6B-multi |
|
--- |
|
# codegen-6B-multi-fp16-ov |
|
* Model creator: [Salesforce](https://huggingface.co/Salesforce) |
|
* Original model: [codegen-6B-multi](https://huggingface.co/Salesforce/codegen-6B-multi) |
|
|
|
## Description |
|
|
|
## Compatibility |
|
|
|
The provided OpenVINO™ IR model is compatible with: |
|
|
|
* OpenVINO version 2024.4.0 and higher |
|
* Optimum Intel 1.20.0 and higher |
|
|
|
## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) |
|
|
|
|
|
1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend: |
|
|
|
``` |
|
pip install optimum[openvino] |
|
``` |
|
|
|
2. Run model inference: |
|
|
|
``` |
|
from transformers import AutoTokenizer |
|
from optimum.intel.openvino import OVModelForCausalLM |
|
|
|
model_id = "OpenVINO/codegen-6B-multi-fp16-ov" |
|
tokenizer = AutoTokenizer.from_pretrained(model_id) |
|
model = OVModelForCausalLM.from_pretrained(model_id) |
|
|
|
inputs = tokenizer("def print_hello_world():", return_tensors="pt") |
|
|
|
outputs = model.generate(**inputs, max_length=200) |
|
text = tokenizer.batch_decode(outputs)[0] |
|
print(text) |
|
``` |
|
|
|
For more examples and possible optimizations, refer to the [OpenVINO Large Language Model Inference Guide](https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide.html). |
|
|
|
## Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai) |
|
|
|
1. Install packages required for using OpenVINO GenAI. |
|
``` |
|
pip install openvino-genai huggingface_hub |
|
``` |
|
|
|
2. Download model from HuggingFace Hub |
|
|
|
``` |
|
import huggingface_hub as hf_hub |
|
|
|
model_id = "OpenVINO/codegen-6B-multi-fp16-ov" |
|
model_path = "codegen-6B-multi-fp16-ov" |
|
|
|
hf_hub.snapshot_download(model_id, local_dir=model_path) |
|
|
|
``` |
|
|
|
3. Run model inference: |
|
|
|
``` |
|
import openvino_genai as ov_genai |
|
|
|
device = "CPU" |
|
pipe = ov_genai.LLMPipeline(model_path, device) |
|
print(pipe.generate("def print_hello_world():", max_length=200)) |
|
``` |
|
|
|
More GenAI usage examples can be found in OpenVINO GenAI library [docs](https://github.com/openvinotoolkit/openvino.genai/blob/master/src/README.md) and [samples](https://github.com/openvinotoolkit/openvino.genai?tab=readme-ov-file#openvino-genai-samples) |
|
## Limitations |
|
|
|
Check the original model card for [original model card](https://huggingface.co/Salesforce/codegen-6B-multi) for limitations. |
|
|
|
## Legal information |
|
|
|
The original model is distributed under [bsd-3-clause](https://choosealicense.com/licenses/bsd-3-clause/) license. More details can be found in [original model card](https://huggingface.co/Salesforce/codegen-6B-multi). |
|
|
|
## Disclaimer |
|
|
|
Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See [Intel’s Global Human Rights Principles](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights. |
