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
|
Download README.md from Mimi1782/MAKI: direct link, hf CLI and curl.
- Browser
- Download file 250 Bytes
-
https://huggingface.co/Mimi1782/MAKI/resolve/main/README.md
- Command line
-
hf download hf://Mimi1782/MAKI/README.md
-
curl -L -o README.md https://huggingface.co/Mimi1782/MAKI/resolve/main/README.md
250 Bytes
metadata
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