Instructions to use Avdpro/DeepSeek-V4-Flash-SSD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Avdpro/DeepSeek-V4-Flash-SSD with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Avdpro/DeepSeek-V4-Flash-SSD --local-dir DeepSeek-V4-Flash-SSD
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download encoding/tests/test_input_2.json from Avdpro/DeepSeek-V4-Flash-SSD: direct link, hf CLI and curl.
- Browser
- Download file 526 Bytes
-
https://huggingface.co/Avdpro/DeepSeek-V4-Flash-SSD/resolve/main/encoding/tests/test_input_2.json
- Command line
-
hf download hf://Avdpro/DeepSeek-V4-Flash-SSD/encoding/tests/test_input_2.json
-
curl -L -o test_input_2.json https://huggingface.co/Avdpro/DeepSeek-V4-Flash-SSD/resolve/main/encoding/tests/test_input_2.json
526 Bytes
| [ | |
| { | |
| "role": "system", | |
| "content": "You are a helpful assistant." | |
| }, | |
| { | |
| "role": "user", | |
| "content": "Hello" | |
| }, | |
| { | |
| "role": "assistant", | |
| "reasoning_content": "The user said hello, I should greet back.", | |
| "content": "Hi there! How can I help you?" | |
| }, | |
| { | |
| "role": "user", | |
| "content": "What is the capital of France?" | |
| }, | |
| { | |
| "role": "assistant", | |
| "reasoning_content": "The user asks about the capital of France. It is Paris.", | |
| "content": "The capital of France is Paris." | |
| } | |
| ] |