Text Classification
PyTorch
GLiNER2
Korean
miya
minecraft
agent
korean
mmbert
mineflayer
work-in-progress
Instructions to use snowman6/Miya-0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use snowman6/Miya-0.2 with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("snowman6/Miya-0.2") # 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 qed_example.webp from snowman6/Miya-0.2: direct link, hf CLI and curl.
- Browser
- Download file 109 kB
-
https://huggingface.co/snowman6/Miya-0.2/resolve/main/qed_example.webp
- Command line
-
hf download hf://snowman6/Miya-0.2/qed_example.webp
-
curl -L -o qed_example.webp https://huggingface.co/snowman6/Miya-0.2/resolve/main/qed_example.webp
109 kB

- Xet hash:
- 5a62aae07942cc081534fe7e4b00135a399565fd5aab65fbfa868d582ddb0abf
- Size of remote file:
- 109 kB
- SHA256:
- a5c007c54293ac578e4e4ba3e6fa638cde96070c9b8aee2371bf684a3c120990
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