Instructions to use totoku/apex-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use totoku/apex-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("totoku/apex-models", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use totoku/apex-models 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 totoku/apex-models:Q4_K_M # Run inference directly in the terminal: llama cli -hf totoku/apex-models:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf totoku/apex-models:Q4_K_M # Run inference directly in the terminal: llama cli -hf totoku/apex-models: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 totoku/apex-models:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf totoku/apex-models:Q4_K_M
Use Docker
docker model run hf.co/totoku/apex-models:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use totoku/apex-models with Ollama:
ollama run hf.co/totoku/apex-models:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use totoku/apex-models with Docker Model Runner:
docker model run hf.co/totoku/apex-models:Q4_K_M
- Lemonade
How to use totoku/apex-models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull totoku/apex-models:Q4_K_M
Run and chat with the model
lemonade run user.apex-models-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download HunyuanVideo-Foley/text_encoder/config.json from totoku/apex-models: direct link, hf CLI and curl.
- Browser
- Download file 643 Bytes
-
https://huggingface.co/totoku/apex-models/resolve/main/HunyuanVideo-Foley/text_encoder/config.json
- Command line
-
hf download hf://totoku/apex-models/HunyuanVideo-Foley/text_encoder/config.json
-
curl -L -o config.json https://huggingface.co/totoku/apex-models/resolve/main/HunyuanVideo-Foley/text_encoder/config.json
643 Bytes
| { | |
| "_name_or_path": "/home/yoach/tmp/clap/larger_clap_music_speech_general", | |
| "architectures": [ | |
| "ClapModel" | |
| ], | |
| "audio_config": { | |
| "depths": [ | |
| 2, | |
| 2, | |
| 12, | |
| 2 | |
| ], | |
| "hidden_size": 1024, | |
| "model_type": "clap_audio_model", | |
| "patch_embeds_hidden_size": 128 | |
| }, | |
| "hidden_size": 768, | |
| "initializer_factor": 1.0, | |
| "logit_scale_init_value": 14.285714285714285, | |
| "model_type": "clap", | |
| "num_hidden_layers": 12, | |
| "projection_dim": 512, | |
| "projection_hidden_act": "relu", | |
| "text_config": { | |
| "model_type": "clap_text_model" | |
| }, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.35.0.dev0" | |
| } | |