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#!/usr/bin/env python3
"""
Example usage for deepseek-tiny-v0.1
"""
import torch
from transformers import DeepseekV3ForCausalLM, AutoTokenizer
def main():
# Load model and tokenizer
print("Loading model...")
model = DeepseekV3ForCausalLM.from_pretrained("ChrisMcCormick/deepseek-tiny-v0.1")
tokenizer = AutoTokenizer.from_pretrained("ChrisMcCormick/deepseek-tiny-v0.1")
# Set to evaluation mode
model.eval()
# Example prompts
prompts = [
"The future of artificial intelligence is",
"In a world where technology advances rapidly,",
"The most important discovery in science was",
]
print("\nGenerating text...")
for prompt in prompts:
inputs = tokenizer(prompt, return_tensors="pt")
with torch.no_grad():
outputs = model.generate(
**inputs,
max_length=50,
temperature=0.7,
do_sample=True,
pad_token_id=tokenizer.eos_token_id
)
generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(f"Prompt: {prompt}")
print(f"Generated: {generated_text}")
print("-" * 50)
if __name__ == "__main__":
main()
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