How to use antflydb/GLiNER2.5-Decide-1B with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("antflydb/GLiNER2.5-Decide-1B") # Extract entities text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday." result = extractor.extract_entities(text, ["company", "person", "product", "location"]) print(result)
How to use antflydb/GLiNER2.5-Decide-1B with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf antflydb/GLiNER2.5-Decide-1B:Q8_0 # Run inference directly in the terminal: llama cli -hf antflydb/GLiNER2.5-Decide-1B:Q8_0
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf antflydb/GLiNER2.5-Decide-1B:Q8_0 # Run inference directly in the terminal: llama cli -hf antflydb/GLiNER2.5-Decide-1B:Q8_0
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf antflydb/GLiNER2.5-Decide-1B:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf antflydb/GLiNER2.5-Decide-1B:Q8_0
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf antflydb/GLiNER2.5-Decide-1B:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf antflydb/GLiNER2.5-Decide-1B:Q8_0
docker model run hf.co/antflydb/GLiNER2.5-Decide-1B:Q8_0
How to use antflydb/GLiNER2.5-Decide-1B with Ollama:
ollama run hf.co/antflydb/GLiNER2.5-Decide-1B:Q8_0
How to use antflydb/GLiNER2.5-Decide-1B with Docker Model Runner:
How to use antflydb/GLiNER2.5-Decide-1B with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull antflydb/GLiNER2.5-Decide-1B:Q8_0
lemonade run user.GLiNER2.5-Decide-1B-Q8_0
lemonade list
