Instructions to use Mimi1782/MAKI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use Mimi1782/MAKI with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("Mimi1782/MAKI") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Mimi1782/MAKI: direct link, hf CLI and curl.
- Browser
- Download file 250 Bytes
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https://huggingface.co/Mimi1782/MAKI/resolve/main/README.md
- Command line
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hf download hf://Mimi1782/MAKI/README.md
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curl -L -o README.md https://huggingface.co/Mimi1782/MAKI/resolve/main/README.md
250 Bytes
| license: grok2-community | |
| datasets: | |
| - Anthropic/hh-rlhf | |
| language: | |
| - hu | |
| - ko | |
| metrics: | |
| - code_eval | |
| base_model: | |
| - zai-org/GLM-4.7-Flash | |
| new_version: Lightricks/LTX-2 | |
| pipeline_tag: zero-shot-image-classification | |
| library_name: flair | |
| tags: | |
| - medical | |