Instructions to use harpertoken/tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use harpertoken/tiny with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("harpertoken/tiny") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use harpertoken/tiny with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "harpertoken/tiny"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "harpertoken/tiny" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "harpertoken/tiny", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
Download tokenizer_config.json from harpertoken/tiny: direct link, hf CLI and curl.
- Browser
- Download file 460 Bytes
-
https://huggingface.co/harpertoken/tiny/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://harpertoken/tiny/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/harpertoken/tiny/resolve/main/tokenizer_config.json
460 Bytes
| { | |
| "add_prefix_space": false, | |
| "additional_special_tokens": null, | |
| "backend": "tokenizers", | |
| "bos_token": "<|im_start|>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|im_end|>", | |
| "errors": "replace", | |
| "extra_special_tokens": [ | |
| "<|im_start|>", | |
| "<|im_end|>" | |
| ], | |
| "is_local": true, | |
| "model_max_length": 2048, | |
| "pad_token": "<|im_end|>", | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "unk_token": "<|endoftext|>", | |
| "vocab_size": 49152 | |
| } | |