Instructions to use anzilr/DeepSeek-R1-Raghavan-FineTuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use anzilr/DeepSeek-R1-Raghavan-FineTuned 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 anzilr/DeepSeek-R1-Raghavan-FineTuned 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 anzilr/DeepSeek-R1-Raghavan-FineTuned to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for anzilr/DeepSeek-R1-Raghavan-FineTuned to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="anzilr/DeepSeek-R1-Raghavan-FineTuned", max_seq_length=2048, )
- Xet hash:
- c5498f6049115414232af3726d36ecabc5b89ed7912434b873d4a8a3c8212a66
- Size of remote file:
- 162 MB
- SHA256:
- c900002a744c3c7137c9a2493987381c9821fc17fb9243537b1f55f08e8db3b5
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