Instructions to use terion-mlx/teapot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use terion-mlx/teapot with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download terion-mlx/teapot --local-dir teapot
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer_config.json from terion-mlx/teapot: direct link, hf CLI and curl.
- Browser
- Download file 432 Bytes
-
https://huggingface.co/terion-mlx/teapot/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://terion-mlx/teapot/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/terion-mlx/teapot/resolve/main/tokenizer_config.json
432 Bytes
| { | |
| "add_bos_token": false, | |
| "add_eos_token": false, | |
| "bos_token": "<|endoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "pad_token": "<|pad|>", | |
| "unk_token": "<|endoftext|>", | |
| "model_max_length": 512, | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "chat_template": "{% for message in messages %}{{ message['role'] + ': ' + message['content'] + '\\n' }}{% endfor %}{% if add_generation_prompt %}{{ 'assistant: ' }}{% endif %}" | |
| } |