Update README.md

README.md

@@ -20,6 +20,8 @@ pipeline_tag: text-generation
 
 this model use Task classification and the converstation is between USER and Answer or AI 
 
+# Using Model in Huggingface Transformers
+
 ## EG 
 
 ```text
@@ -60,6 +62,29 @@ with torch.no_grad():
   print(verify_text(output[0]['generated_text']))
 
 ```
+### Generate Method to get res Text by Text
+
+```python
+
+def generate(model_,input_ids_,tokeinzer_,max_length:int=256,temperature :float= 1,eos_token_id:int=2):
+  with torch.no_grad():
+    before_start = len(input_ids_[0])+1
+    for _ in range(max_length):
+      out = model_(
+          input_ids=input_ids_,
+          return_dict=True,
+      )
+      opa = torch.nn.functional.softmax(out.logits[:,-1,:]/temperature)
+      Camila = torch.multinomial(opa,1)
+      input_ids_ = torch.cat([input_ids_,Camila],-1)
+      clear_output(wait=True)
+      print(f"\r{tokeinzer_.decode(input_ids_[0],skip_special_tokens=True)[before_start:]}",end='')
+      if Camila[0].item() == eos_token_id:
+        break
+      yield tokeinzer_.decode(Camila[0],skip_special_tokens=True)
+  return f"{tokeinzer_.decode(input_ids_[0],skip_special_tokens=True)[before_start:]}"
+```
+
 
 ### Result