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
- 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
Download tokenizer_config.json from antflydb/GLiNER2.5-Decide: direct link, hf CLI and curl.
- Browser
- Download file 3.36 kB
-
https://huggingface.co/antflydb/GLiNER2.5-Decide/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://antflydb/GLiNER2.5-Decide/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/antflydb/GLiNER2.5-Decide/resolve/main/tokenizer_config.json
3.36 kB
| { | |
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| "additional_special_tokens": [ | |
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| "backend": "tokenizers", | |
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| "clean_up_tokenization_spaces": false, | |
| "cls_token": "[CLS]", | |
| "do_lower_case": false, | |
| "eos_token": "[SEP]", | |
| "extra_special_tokens": {}, | |
| "is_local": false, | |
| "local_files_only": false, | |
| "mask_token": "[MASK]", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "sp_model_kwargs": {}, | |
| "split_by_punct": false, | |
| "tokenizer_class": "DebertaV2Tokenizer", | |
| "unk_id": 3, | |
| "unk_token": "[UNK]", | |
| "vocab_type": "spm" | |
| } | |