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license: mit
language:
- en
tags:
- code
- moe
- react
- tailwind
library_name: pytorch
---
# Neurocoder
From-scratch narrow-domain coding SLM for React + Tailwind generation and unified-diff edits.
Includes trained `model.safetensors` weights.
## Transformers Usage
```python
from transformers import AutoTokenizer, AutoModelForCausalLM
model_id = "Sharjeelbaig/neurocoder"
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)
prompt = "Generate a landing page for marketing agency titled Velocity Landing"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(
**inputs,
max_new_tokens=220,
do_sample=False,
repetition_penalty=1.22,
no_repeat_ngram_size=6,
use_cache=True,
)
text = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(text.split("\nAssistant:", 1)[-1].strip())
```
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