Instructions to use RJTPP/scot0401s-deepseek-1.5b-REF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RJTPP/scot0401s-deepseek-1.5b-REF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RJTPP/scot0401s-deepseek-1.5b-REF", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use RJTPP/scot0401s-deepseek-1.5b-REF 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 RJTPP/scot0401s-deepseek-1.5b-REF 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 RJTPP/scot0401s-deepseek-1.5b-REF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for RJTPP/scot0401s-deepseek-1.5b-REF to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="RJTPP/scot0401s-deepseek-1.5b-REF", max_seq_length=2048, )
- Xet hash:
- 60ab900c74359c2ea0f48b6d7d9338efe7581104a938c850e09e2c6819075e07
- Size of remote file:
- 73.9 MB
- SHA256:
- 6a02eef4296d1dc3742e1274ac3bec992e3ea14deec1d5af0d02c905cc34a42e
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