Instructions to use antflydb/GLiNER2.5-Decide with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use antflydb/GLiNER2.5-Decide with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("antflydb/GLiNER2.5-Decide") # Extract entities text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday." result = extractor.extract_entities(text, ["company", "person", "product", "location"]) print(result) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use antflydb/GLiNER2.5-Decide with llama.cpp:
Install (macOS, Linux)
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:Q8_0 # Run inference directly in the terminal: llama cli -hf antflydb/GLiNER2.5-Decide:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf antflydb/GLiNER2.5-Decide:Q8_0 # Run inference directly in the terminal: llama cli -hf antflydb/GLiNER2.5-Decide:Q8_0
Use pre-built binary
# 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:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf antflydb/GLiNER2.5-Decide:Q8_0
Build from source code
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:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf antflydb/GLiNER2.5-Decide:Q8_0
Use Docker
docker model run hf.co/antflydb/GLiNER2.5-Decide:Q8_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use antflydb/GLiNER2.5-Decide with Ollama:
ollama run hf.co/antflydb/GLiNER2.5-Decide:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use antflydb/GLiNER2.5-Decide with Docker Model Runner:
docker model run hf.co/antflydb/GLiNER2.5-Decide:Q8_0
- Lemonade
How to use antflydb/GLiNER2.5-Decide with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull antflydb/GLiNER2.5-Decide:Q8_0
Run and chat with the model
lemonade run user.GLiNER2.5-Decide-Q8_0
List all available models
lemonade list
- Atomic Chat
Add SHA-256 manifest for Decide bundle
Browse files- SHA256SUMS +8 -0
SHA256SUMS
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114ef07ffb590bd7f864a6ac2525f9ba1a87bb8f6a5341d226757b76bb5d5c8e antfly_inference_bundle.json
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e748e5b80575471c91b3f0dd00f513ba58242544fcb7e1236e0021e61abd7673 config.json
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bd32f1484ba5a199f7a63df44df3814b839fffcf6e64478323c4689868ef6015 encoder_config/config.json
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8d9bea7df21ab4a8a17333f51f246faab5280159e5751ebbadd81a85ec96c871 gliner2-encoder.Q8_0.gguf
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52cb6197d3dcfe5ad6276ceb037a3333d2921bbcf3dfb8289aeff82fbd5693dc gliner_head.gguf
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84ea70143f533d7e99b393d87f20010887a9ac2cba955828ef313886e4e83f4f special_tokens_map.json
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3ad87d9ffe669147063e70850927dd2da90249e2acc5c8527f1eb65df467bcc8 tokenizer.json
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323199a4e946039410899f3779f2aa3eaef1500213c512727ad0f623d4f21309 tokenizer_config.json
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