nexsendev/webicoder-v3-coreml

# Install Git LFS first
git lfs install
git clone https://huggingface.co/nexsendev/webicoder-v3-coreml

import CoreML
import Tokenizers

// Load model
let config = MLModelConfiguration()
config.computeUnits = .cpuAndNeuralEngine
let model = try MLModel(contentsOf: modelURL, configuration: config)

// Tokenize input
let tokenizer = try await AutoTokenizer.from(pretrained: "nexsendev/webicoder-v3-coreml")
let prompt = "Create a modern landing page for a coffee shop"
let inputIds = tokenizer.encode(text: prompt)

// Run inference
let inputArray = try MLMultiArray(shape: [1, inputIds.count as NSNumber], dataType: .int32)
for (i, id) in inputIds.enumerated() {
    inputArray[i] = NSNumber(value: id)
}

let prediction = try model.prediction(from: MLDictionaryFeatureProvider(
    dictionary: ["input_ids": inputArray, "attention_mask": maskArray]
))

import coremltools as ct
import numpy as np
from transformers import AutoTokenizer

# Load
model = ct.models.MLModel("WebICoder-v3-fp16.mlpackage")
tokenizer = AutoTokenizer.from_pretrained("nexsendev/webicoder-v3-coreml")

# Generate
prompt = "Create a modern landing page for a coffee shop with dark theme"
tokens = tokenizer.encode(prompt, return_tensors="np").astype(np.int32)
mask = np.ones_like(tokens, dtype=np.int32)

result = model.predict({"input_ids": tokens, "attention_mask": mask})
logits = result["logits"]

Create a modern landing page for a coffee shop with:
- Dark theme with warm colors
- Hero section with a background image
- Menu section with cards
- Contact form
- Responsive design