Nix2.5-plus

59
license:apache-2.0
by
ray0rf1re
Other
OTHER
New
59 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

Usagepythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "ray0rf1re/Nix2.5-plus"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

# Example usage (adjust as needed)
input_text = "Hello, my name is"
input_ids = tokenizer(input_text, return_tensors="pt").input_ids
output = model.generate(input_ids, max_new_tokens=50)
print(tokenizer.decode(output[0], skip_special_tokens=True))

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