Instructions to use VictorM-Coder/humanizer-12b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use VictorM-Coder/humanizer-12b with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="VictorM-Coder/humanizer-12b")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("VictorM-Coder/humanizer-12b")
model = AutoModelForMultimodalLM.from_pretrained("VictorM-Coder/humanizer-12b", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use VictorM-Coder/humanizer-12b with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf VictorM-Coder/humanizer-12b:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf VictorM-Coder/humanizer-12b:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf VictorM-Coder/humanizer-12b:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf VictorM-Coder/humanizer-12b:Q4_K_M

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf VictorM-Coder/humanizer-12b:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf VictorM-Coder/humanizer-12b:Q4_K_M

Use Docker

docker model run hf.co/VictorM-Coder/humanizer-12b:Q4_K_M

Llama new
LM Studio
Jan

vLLM

How to use VictorM-Coder/humanizer-12b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "VictorM-Coder/humanizer-12b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "VictorM-Coder/humanizer-12b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/VictorM-Coder/humanizer-12b:Q4_K_M

SGLang

How to use VictorM-Coder/humanizer-12b with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "VictorM-Coder/humanizer-12b" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "VictorM-Coder/humanizer-12b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "VictorM-Coder/humanizer-12b" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "VictorM-Coder/humanizer-12b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use VictorM-Coder/humanizer-12b with Ollama:
```
ollama run hf.co/VictorM-Coder/humanizer-12b:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use VictorM-Coder/humanizer-12b with Docker Model Runner:
```
docker model run hf.co/VictorM-Coder/humanizer-12b:Q4_K_M
```

Lemonade

How to use VictorM-Coder/humanizer-12b with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull VictorM-Coder/humanizer-12b:Q4_K_M

Run and chat with the model

lemonade run user.humanizer-12b-Q4_K_M

List all available models

lemonade list

Atomic Chat

VictorM-Coder commited on 3 days ago

Commit

1be0023

verified ·

1 Parent(s): 6f26098

Add preprocessor_config.json for AutoFeatureExtractor

Browse files

Files changed (1) hide show

preprocessor_config.json +21 -0

preprocessor_config.json ADDED Viewed

	@@ -0,0 +1,21 @@

+{
+  "dither": 0.0,
+  "feature_extractor_type": "Gemma4AudioFeatureExtractor",
+  "feature_size": 128,
+  "fft_length": 512,
+  "fft_overdrive": false,
+  "frame_length": 320,
+  "hop_length": 160,
+  "input_scale_factor": 1.0,
+  "max_frequency": 8000.0,
+  "mel_floor": 0.001,
+  "min_frequency": 0.0,
+  "padding_side": "left",
+  "padding_value": 0.0,
+  "per_bin_mean": null,
+  "per_bin_stddev": null,
+  "preemphasis": 0.0,
+  "preemphasis_htk_flavor": true,
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}