Instructions to use NomaDamas/v-splade-efficient-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use NomaDamas/v-splade-efficient-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir v-splade-efficient-mlx NomaDamas/v-splade-efficient-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download chat_template.jinja from NomaDamas/v-splade-efficient-mlx: direct link, hf CLI and curl.
- Browser
- Download file 432 Bytes
-
https://huggingface.co/NomaDamas/v-splade-efficient-mlx/resolve/main/chat_template.jinja
- Command line
-
hf download hf://NomaDamas/v-splade-efficient-mlx/chat_template.jinja
-
curl -L -o chat_template.jinja https://huggingface.co/NomaDamas/v-splade-efficient-mlx/resolve/main/chat_template.jinja
432 Bytes
| {% for message in messages %}{{message['role'] | capitalize}}{% if message['content'][0]['type'] == 'image' %}{{':'}}{% else %}{{': '}}{% endif %}{% for line in message['content'] %}{% if line['type'] == 'text' %}{{line['text']}}{% elif line['type'] == 'image' %}{{ '<image>' }}{% endif %}{% endfor %}{% if add_generation_prompt %}<end_of_utterance> | |
| {% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %} |