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 tokenizer.json from pooria/foxmind: direct link, hf CLI and curl.
- Browser
- Download file 16 MB
-
https://huggingface.co/pooria/foxmind/resolve/main/tokenizer.json
- Command line
-
hf download hf://pooria/foxmind/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/pooria/foxmind/resolve/main/tokenizer.json
16 MB
- Xet hash:
- 920fad91bae09682666082a819c01b4a601ac817a9d5f9e70988c798c105f179
- Size of remote file:
- 16 MB
- SHA256:
- f6df10ec83bea993035b2dd7c39345a3d4fcf23421c2adb6cb4ffc1e6d1bc4b5
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