FreedomIntelligence/medical-o1-reasoning-SFT
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How to use latentbhindi/deepseek-demo with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("latentbhindi/deepseek-demo", dtype="auto")How to use latentbhindi/deepseek-demo with Unsloth Studio:
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 latentbhindi/deepseek-demo to start chatting
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 latentbhindi/deepseek-demo to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for latentbhindi/deepseek-demo to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="latentbhindi/deepseek-demo",
max_seq_length=2048,
)This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Used mainly to diagnose patients based on reports and user prompts.
LLM distilled using Deepseek-r1 providing a CoT to the base model of llama-8b.
Base model
deepseek-ai/DeepSeek-R1-Distill-Llama-8B