gpt2-next-word-prediction

36
5
ā€”
by
AventIQ-AI
Other
OTHER
New
36 downloads
Early-stage
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Mobile
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Quick Summary

AI model with specialized capabilities.

Code Examples

Question Answer Examplepython
# Input text
text = "Hi! How are"

# Tokenize input text
input_ids = tokenizer.encode(text, return_tensors="pt").to(device)

# Generate next word (max_length ensures we get only the next token)
output = model.generate(input_ids, max_length=input_ids.shape[1] + 1, do_sample=False)

# Decode output
generated_text = tokenizer.decode(output[0])

print("Generated Sentence:", generated_text)
Question Answer Examplepython
# Input text
text = "Hi! How are"

# Tokenize input text
input_ids = tokenizer.encode(text, return_tensors="pt").to(device)

# Generate next word (max_length ensures we get only the next token)
output = model.generate(input_ids, max_length=input_ids.shape[1] + 1, do_sample=False)

# Decode output
generated_text = tokenizer.decode(output[0])

print("Generated Sentence:", generated_text)

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