Instructions to use DayCardoso/valueeval24-bert-baseline-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DayCardoso/valueeval24-bert-baseline-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DayCardoso/valueeval24-bert-baseline-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DayCardoso/valueeval24-bert-baseline-en") model = AutoModelForSequenceClassification.from_pretrained("DayCardoso/valueeval24-bert-baseline-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- daffa8a0df927712940498cd7422fda537272a2cc61e10068b588cb630bb831c
- Size of remote file:
- 5.43 kB
- SHA256:
- 19b0207204e6044fcce2417ab131841733d69ce1a1fdf8bb890e0cb93232f175
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