Instructions to use trainMeWell/seg_bertWiki_gbh_undersampled-3-1_7sentsContext_class-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trainMeWell/seg_bertWiki_gbh_undersampled-3-1_7sentsContext_class-weights with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="trainMeWell/seg_bertWiki_gbh_undersampled-3-1_7sentsContext_class-weights")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("trainMeWell/seg_bertWiki_gbh_undersampled-3-1_7sentsContext_class-weights") model = AutoModelForSequenceClassification.from_pretrained("trainMeWell/seg_bertWiki_gbh_undersampled-3-1_7sentsContext_class-weights", device_map="auto") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
valDataset:
[[ 360 131]
[ 617 10882]]
0.7331975560081466 0.9463431602748065
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