How to use spybyscript/gliner25-decide-litert with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
How to use spybyscript/gliner25-decide-litert with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("spybyscript/gliner25-decide-litert") # Extract entities text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday." result = extractor.extract_entities(text, ["company", "person", "product", "location"]) print(result)
https://huggingface.co/spybyscript/gliner25-decide-litert/resolve/main/tokenizer.json
hf download hf://spybyscript/gliner25-decide-litert/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/spybyscript/gliner25-decide-litert/resolve/main/tokenizer.json
