Upload Run.rtf

Run.rtf

@@ -0,0 +1,43 @@
+{\rtf1\ansi\ansicpg1252\cocoartf2867
+\cocoatextscaling0\cocoaplatform0{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
+{\colortbl;\red255\green255\blue255;}
+{\*\expandedcolortbl;;}
+\paperw11900\paperh16840\margl1440\margr1440\vieww11520\viewh8400\viewkind0
+\pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0
+
+\f0\fs24 \cf0 Step1:\
+!pip install -U transformers\
+\
+step2:\
+from transformers import pipeline\
+\
+pipe = pipeline("text-generation", model="varuneshv/VCoder")\
+messages = [\
+    \{"role": "user", "content": "Who are you?"\},\
+]\
+pipe(messages)\
+\
+step3:\
+\
+from transformers import AutoTokenizer, AutoModelForCausalLM\
+\
+tokenizer = AutoTokenizer.from_pretrained("varuneshv/VCoder")\
+\
+model = AutoModelForCausalLM.from_pretrained(\
+    "varuneshv/VCoder"\
+)\
+\
+step4:\
+\
+inputs = tokenizer(\
+    "write a python code to merge 3 arrays",\
+    return_tensors="pt"\
+)\
+\
+outputs = model.generate(\
+    **inputs,\
+    max_new_tokens=200\
+)\
+\
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))\
+}