Instructions to use Vo1dAbyss/DeepSeek-R1-Distill-Qwen-7B-Luau-DeMinify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vo1dAbyss/DeepSeek-R1-Distill-Qwen-7B-Luau-DeMinify with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Vo1dAbyss/DeepSeek-R1-Distill-Qwen-7B-Luau-DeMinify", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Vo1dAbyss/DeepSeek-R1-Distill-Qwen-7B-Luau-DeMinify with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Vo1dAbyss/DeepSeek-R1-Distill-Qwen-7B-Luau-DeMinify to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Vo1dAbyss/DeepSeek-R1-Distill-Qwen-7B-Luau-DeMinify to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Vo1dAbyss/DeepSeek-R1-Distill-Qwen-7B-Luau-DeMinify to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Vo1dAbyss/DeepSeek-R1-Distill-Qwen-7B-Luau-DeMinify", max_seq_length=2048, )
- Xet hash:
- 4c62bdf4ddc5712990bcf33e727ba8acc8cbbf4481bf7676993b01cb1bd13fd6
- Size of remote file:
- 11.4 MB
- SHA256:
- 5d49e08c96fcd0fb570ca5259ffb933ce28eb5c68f2c28505ca4c1cf5d6b35fd
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