مثال توليد النص باستخدام GPT-2 - كتاب الذكاء الإصطناعي - الصف 12 - الفصل 1 - المملكة العربية السعودية

excellent and the steaks were delicious. I will definitely return soon, highly recommended!' # encodes the given text into tokens encoded_text = tokenizer.encode(text, return_tensors='pt') # use the generator to generate more tokens. # do_sample=True prevents GPT-2 from just predicting the most likely word at every step. generated_tokens = generator.generate(encoded_text, max_length=200) # max number of new tokens to generate # decode the generates tokens to convert them to words # skip_special_tokens=True is used to avoid special tokens such as '>' or '-' characters. print(tokenizer.decode(generated_tokens[0], skip_special_tokens=True))

We had dinner at this restaurant yesterday. It is very close to my house. All my friends were there, we had a great time. The location is excellent and the steaks were delicious.I will definitely return soon, highly recommended! I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and

# use the generator to generate more tokens. # do_sample=True prevents GPT-2 from just predicting the most likely word at every step. generated_tokens = generator.generate(encoded_text, max_length=200, do_sample=True)

print(tokenizer.decode(generated_tokens[0], skip_special_tokens=True)) We had dinner at this restaurant yesterday. It is very close to my house. All my friends were there, we had a great time. The location is excellent and the steaks were delicious.I will definitely return soon, highly recommended! If you just found this place helpful. If you like to watch videos or go to the pool while you're there, go for it! Good service - I'm from Colorado and love to get in and out of this place. The food was amazing! Also, we were happy to see the waitstaff with their great hands - I went for dinner. I ordered a small side salad (with garlic on top), and had a slice of tuna instead. When I was eating, I was able to get up and eat my salad while waiting for my friend to pick up the plate, so I had a great time too. Staff was welcoming and accommodating. Parking is cheap in this neighborhood, and it is in the neighborhood that it needs to

وزارة التعليم 187 Ministry of Education 2023 - 1447

--- SECTION: Code Example: Text Generation --- excellent and the steaks were delicious. I will definitely return soon, highly recommended!' # encodes the given text into tokens encoded_text = tokenizer.encode(text, return_tensors='pt') # use the generator to generate more tokens. # do_sample=True prevents GPT-2 from just predicting the most likely word at every step. generated_tokens = generator.generate(encoded_text, max_length=200) # max number of new tokens to generate # decode the generates tokens to convert them to words # skip_special_tokens=True is used to avoid special tokens such as '>' or '-' characters. print(tokenizer.decode(generated_tokens[0], skip_special_tokens=True)) --- SECTION: Generated Text Output 1 --- We had dinner at this restaurant yesterday. It is very close to my house. All my friends were there, we had a great time. The location is excellent and the steaks were delicious.I will definitely return soon, highly recommended! I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and I've been coming here for a while now and --- SECTION: Code Example: Text Generation (do_sample=True) --- # use the generator to generate more tokens. # do_sample=True prevents GPT-2 from just predicting the most likely word at every step. generated_tokens = generator.generate(encoded_text, max_length=200, do_sample=True) --- SECTION: Generated Text Output 2 --- print(tokenizer.decode(generated_tokens[0], skip_special_tokens=True)) We had dinner at this restaurant yesterday. It is very close to my house. All my friends were there, we had a great time. The location is excellent and the steaks were delicious.I will definitely return soon, highly recommended! If you just found this place helpful. If you like to watch videos or go to the pool while you're there, go for it! Good service - I'm from Colorado and love to get in and out of this place. The food was amazing! Also, we were happy to see the waitstaff with their great hands - I went for dinner. I ordered a small side salad (with garlic on top), and had a slice of tuna instead. When I was eating, I was able to get up and eat my salad while waiting for my friend to pick up the plate, so I had a great time too. Staff was welcoming and accommodating. Parking is cheap in this neighborhood, and it is in the neighborhood that it needs to --- SECTION: Ministry of Education Footer --- وزارة التعليم 187 Ministry of Education 2023 - 1447 --- VISUAL CONTEXT --- **IMAGE**: Ministry of Education Logo Description: A green, abstract, geometric logo with a stylized Arabic script, representing the Ministry of Education. Below the Arabic text, 'Ministry of Education' is written in English, along with the number '187' and the years '2023 - 1447'. Table Structure: Headers: N/A Data: N/A Context: This logo serves as a footer or institutional branding for the textbook page.