Instructions to use trainMeWell/seg_distil_gbh_undersampled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trainMeWell/seg_distil_gbh_undersampled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="trainMeWell/seg_distil_gbh_undersampled")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("trainMeWell/seg_distil_gbh_undersampled") model = AutoModelForSequenceClassification.from_pretrained("trainMeWell/seg_distil_gbh_undersampled") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61d2a6804a44c9e17220b89195a2e3223c15fff764b65ae7cc0ea14878b7a98a
- Size of remote file:
- 268 MB
- SHA256:
- 16a2bcd79e3f0e45b5767d60befcbd5aabf2af888fa1f1665c245130827b356d
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