Instructions to use gianma/classifierEUtopLevelBDWdIntRebalanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gianma/classifierEUtopLevelBDWdIntRebalanced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gianma/classifierEUtopLevelBDWdIntRebalanced")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gianma/classifierEUtopLevelBDWdIntRebalanced") model = AutoModelForSequenceClassification.from_pretrained("gianma/classifierEUtopLevelBDWdIntRebalanced") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a55fc932c602718ed8d1ca2e4c30c36a8d04af98d3346d276cde58a811b7ad15
- Size of remote file:
- 444 MB
- SHA256:
- 38aaad798abba46e5e70d4a678b7e7510142a0d448968a03d3da2be80d87a8f4
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