Instructions to use hslee1064/huggingface-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use hslee1064/huggingface-test with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("hslee1064/huggingface-test") - Notebooks
- Google Colab
- Kaggle
hlee118 commited on
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Parent(s): d3c7926
Update model card
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README.md
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metrics:
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- sacrebleu
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---
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metrics:
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- bleu
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- sacrebleu
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co2_eq_emissions:
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emissions: number (in grams of CO2)
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source: "source of the information, either directly from AutoTrain, code carbon or from a scientific article documenting the model"
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training_type: "pre-training or fine-tuning"
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geographical_location: "as granular as possible, for instance Quebec, Canada or Brooklyn, NY, USA. To check your compute's electricity grid, you can check out https://app.electricitymap.org."
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hardware_used: "how much compute and what kind, e.g. 8 v100 GPUs"
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