Instructions to use pooria/foxmind with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use pooria/foxmind with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('token-classification', 'pooria/foxmind'); - GLiNER2
How to use pooria/foxmind with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("pooria/foxmind") # 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
Download onnx/model.onnx_data from pooria/foxmind: direct link, hf CLI and curl.
- Browser
- Download file 1.23 GB
-
https://huggingface.co/pooria/foxmind/resolve/main/onnx/model.onnx_data
- Command line
-
hf download hf://pooria/foxmind/onnx/model.onnx_data
-
curl -L -o model.onnx_data https://huggingface.co/pooria/foxmind/resolve/main/onnx/model.onnx_data
1.23 GB
- Xet hash:
- 085f70eb0903e14ec71e1cce87ef4f8a7623de332cb5e33e410b4ddab9aba83a
- Size of remote file:
- 1.23 GB
- SHA256:
- 9b000019f33cadd2327b1a01aadcc0c66f56589c924437e5efd728856cdbcd94
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