Instructions to use Nateturk/moneymaker1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use Nateturk/moneymaker1 with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("Nateturk/moneymaker1") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Nateturk/moneymaker1: direct link, hf CLI and curl.
- Browser
- Download file 27.9 MB
-
https://huggingface.co/Nateturk/moneymaker1/resolve/main/tokenizer.json
- Command line
-
hf download hf://Nateturk/moneymaker1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Nateturk/moneymaker1/resolve/main/tokenizer.json
27.9 MB
- Xet hash:
- 59f22360b51bf1a137fb80e14df310b4b249bed6cc64565aa0c401ca19ffcd04
- Size of remote file:
- 27.9 MB
- SHA256:
- 0614fe83cadab421296e664e1f48f4261fa8fef6e03e63bb75c20f38e37d07d3
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