Instructions to use EndlessRecurrence/rasa-diet-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndlessRecurrence/rasa-diet-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndlessRecurrence/rasa-diet-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndlessRecurrence/rasa-diet-classifier") model = AutoModelForSequenceClassification.from_pretrained("EndlessRecurrence/rasa-diet-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e59c741d798d9dcb08ab3dbec3284dc87d849c3a64cb134b56304c84b15464c
- Size of remote file:
- 433 MB
- SHA256:
- 33bf506969b498a94a8b069935846b0225262aba7adbe2efb0938d1092bb9fbe
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