Instructions to use Nguuma/Fine-tuned-DeepSeek-R1-Medical-Lab-Test-Assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nguuma/Fine-tuned-DeepSeek-R1-Medical-Lab-Test-Assistant with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Nguuma/Fine-tuned-DeepSeek-R1-Medical-Lab-Test-Assistant", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Nguuma/Fine-tuned-DeepSeek-R1-Medical-Lab-Test-Assistant 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 Nguuma/Fine-tuned-DeepSeek-R1-Medical-Lab-Test-Assistant 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 Nguuma/Fine-tuned-DeepSeek-R1-Medical-Lab-Test-Assistant to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Nguuma/Fine-tuned-DeepSeek-R1-Medical-Lab-Test-Assistant to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Nguuma/Fine-tuned-DeepSeek-R1-Medical-Lab-Test-Assistant", max_seq_length=2048, )
File size: 480 Bytes
9429956 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"add_prefix_space": null,
"backend": "tokenizers",
"bos_token": "<|begin▁of▁sentence|>",
"clean_up_tokenization_spaces": false,
"eos_token": "<|end▁of▁sentence|>",
"from_slow": true,
"is_local": false,
"legacy": false,
"model_max_length": 131072,
"pad_token": "<|finetune_right_pad_id|>",
"padding_side": "left",
"sp_model_kwargs": {},
"tokenizer_class": "TokenizersBackend",
"unk_token": null,
"use_default_system_prompt": false
}
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