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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb86a36a55b003a201fe4c0a977dc51518040fa716d9750977d314c4fce426d5
- Size of remote file:
- 4.98 kB
- SHA256:
- cde8591803b11eaa5d90113b81fb8708fc6052a1d073d27423f4df2ab1c1f579
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