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license: mit
tags:
- amoral-ai
- unrestricted
- text-generation
- custom-model
- nexus-prime
pipeline_tag: text-generation
---
# 🔥 NEXUS-PRIME v1.0
**PROPERLY CONFIGURED MODEL - CLEAN OUTPUT**
## Usage
```python
from transformers import pipeline
# Simple usage - NO GARBAGE OUTPUT
generator = pipeline('text-generation',
model='zynxware/nexus-prime',
max_new_tokens=80,
temperature=0.7,
repetition_penalty=1.2)
prompt = "User: Hello\nNEXUS-PRIME:"
response = generator(prompt)[0]['generated_text']
# Extract clean response
if "NEXUS-PRIME:" in response:
clean_response = response.split("NEXUS-PRIME:")[-1].strip()
print(clean_response) |