Transformers
Safetensors
reasoning
chain-of-thought
deepseek
qwen
unsloth
chatml
agent
code
thinking
distilled
Instructions to use 3amthoughts/DeepLink-R1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 3amthoughts/DeepLink-R1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("3amthoughts/DeepLink-R1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use 3amthoughts/DeepLink-R1 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 3amthoughts/DeepLink-R1 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 3amthoughts/DeepLink-R1 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for 3amthoughts/DeepLink-R1 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="3amthoughts/DeepLink-R1", max_seq_length=2048, )
- Xet hash:
- 64ac3810b0b15eb02611bc020ba74c0d35b66eae81352061245260559081ddef
- Size of remote file:
- 11.4 MB
- SHA256:
- 392266ee707ed4a65b97b361ac2264e00d163cddb6f657fdc57e89c68ff69f23
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