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README.md
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@@ -48,7 +48,7 @@ model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", torch_
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text = "#write a quick sort algorithm"
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inputs = tokenizer(text, return_tensors="pt").to(model.device)
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outputs = model.generate(**inputs, max_new_tokens=80)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True)[len(text):])
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```
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**Code Insertion**
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```python
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@@ -69,7 +69,7 @@ text = """<|fim▁begin|>def find_longest_substring(s):
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return max_length<|fim▁end|>"""
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inputs = tokenizer(text, return_tensors="pt").to(model.device)
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outputs = model.generate(**inputs, max_new_tokens=80)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True)[len(text):])
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```
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## 3.License
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text = "#write a quick sort algorithm"
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inputs = tokenizer(text, return_tensors="pt").to(model.device)
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outputs = model.generate(**inputs, max_new_tokens=80)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True)[len(text):])
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```
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**Code Insertion**
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```python
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return max_length<|fim▁end|>"""
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inputs = tokenizer(text, return_tensors="pt").to(model.device)
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outputs = model.generate(**inputs, max_new_tokens=80)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True)[len(text):])
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```
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## 3.License
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