Update README.md

README.md

@@ -13,6 +13,7 @@ Note the model is in float16.
 
 Codes:
 ```python
+from transformers import pipeline
 from huggingface_hub import create_repo, upload_folder
 import torch
 import transformers
@@ -23,14 +24,18 @@ save_path = '/tmp/yujiepan/gptj-tiny-random'
 repo_id = 'yujiepan/gptj-tiny-random'
 
 config = transformers.AutoConfig.from_pretrained(model_id)
-config.hidden_size = 8
-config.n_embd = 8
+config.hidden_size = 16
+config.n_embd = 16
 config.num_attention_heads = 2
 config.n_head = 2
+config.rotary_dim = 4
+config.num_hidden_layers = 2
 config.n_layer = 2
+config.torch_dtype = torch.float16
 print(config)
 
 model = transformers.AutoModelForCausalLM.from_config(config, torch_dtype=torch.float16)
+model = model.half()
 model.save_pretrained(save_path)
 
 tokenizer = transformers.AutoTokenizer.from_pretrained(model_id)
@@ -38,11 +43,9 @@ tokenizer.save_pretrained(save_path)
 
 # from optimum.intel.openvino import OVModelForCausalLM
 # ovmodel = OVModelForCausalLM.from_pretrained(save_path, export=True)
-# ovmodel = ovmodel.half()
 # ovmodel.save_pretrained(save_path)
 
 os.system(f'ls -alh {save_path}')
-
 create_repo(repo_id, exist_ok=True)
 upload_folder(repo_id=repo_id, folder_path=save_path)
 ```