Instructions to use belyakoff/technical-support-problem-rate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use belyakoff/technical-support-problem-rate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="belyakoff/technical-support-problem-rate")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("belyakoff/technical-support-problem-rate") model = AutoModelForSequenceClassification.from_pretrained("belyakoff/technical-support-problem-rate") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bc4c5830d07a1837d2c207dcfe1b68844689b91f69355d66da4673634863b69
- Size of remote file:
- 499 MB
- SHA256:
- 6bb64b52edf7c3661fcc1852b558d5c741d72bee58810cf8b6c5cbe1af1470c9
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