MiniMax-M2-5-REAP-29

2
license:mit
by
Akicou
Language Model
OTHER
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Quick Summary

AI model with specialized capabilities.

Code Examples

Quick Startpythontransformers
from transformers import AutoTokenizer, AutoModelForCausalLM

model_name = "Akicou/MiniMax-M2.5-REAP-29"

tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    device_map="auto",
    torch_dtype="auto",
    trust_remote_code=True
)

prompt = "Explain quantum entanglement in simple terms:"
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

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