katuni4ka commited on
Commit
32066ba
1 Parent(s): 9b2f0ef

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +33 -2
README.md CHANGED
@@ -27,7 +27,7 @@ The provided OpenVINO™ IR model is compatible with:
27
  * OpenVINO version 2024.1.0 and higher
28
  * Optimum Intel 1.16.0 and higher
29
 
30
- ## Running Model Inference
31
 
32
  1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
33
 
@@ -45,7 +45,7 @@ The provided OpenVINO™ IR model is compatible with:
45
  tokenizer = AutoTokenizer.from_pretrained(model_id)
46
  model = OVModelForCausalLM.from_pretrained(model_id)
47
 
48
- inputs = tokenizer("What is OpenVINO?", return_tensors="pt")
49
 
50
  outputs = model.generate(**inputs, max_length=200)
51
  text = tokenizer.batch_decode(outputs)[0]
@@ -54,6 +54,37 @@ The provided OpenVINO™ IR model is compatible with:
54
 
55
  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).
56
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
57
  ## Limitations
58
 
59
  Check the original model card for [limitations](https://huggingface.co/Salesforce/codegen2-3_7B_P#intended-use-and-limitations).
 
27
  * OpenVINO version 2024.1.0 and higher
28
  * Optimum Intel 1.16.0 and higher
29
 
30
+ ## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index)
31
 
32
  1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
33
 
 
45
  tokenizer = AutoTokenizer.from_pretrained(model_id)
46
  model = OVModelForCausalLM.from_pretrained(model_id)
47
 
48
+ inputs = tokenizer("def print_hello_world():", return_tensors="pt")
49
 
50
  outputs = model.generate(**inputs, max_length=200)
51
  text = tokenizer.batch_decode(outputs)[0]
 
54
 
55
  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).
56
 
57
+ ## Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)
58
+
59
+ 1. Install packages required for using OpenVINO GenAI.
60
+ ```
61
+ pip install openvino-genai huggingface_hub
62
+ ```
63
+
64
+ 2. Download model from HuggingFace Hub
65
+
66
+ ```
67
+ import huggingface_hub as hf_hub
68
+
69
+ model_id = "OpenVINO/<model_name>"
70
+ model_path = "<model_name>"
71
+
72
+ hf_hub.snapshot_download(model_id, local_dir=model_path)
73
+
74
+ ```
75
+
76
+ 3. Run model inference:
77
+
78
+ ```
79
+ import openvino_genai as ov_genai
80
+
81
+ device = "CPU"
82
+ pipe = ov_genai.LLMPipeline(model_path, device)
83
+ print(pipe.generate("def print_hello_world():"))
84
+ ```
85
+
86
+ 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)
87
+
88
  ## Limitations
89
 
90
  Check the original model card for [limitations](https://huggingface.co/Salesforce/codegen2-3_7B_P#intended-use-and-limitations).