Instructions to use peterkros/immunization-classification-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peterkros/immunization-classification-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="peterkros/immunization-classification-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("peterkros/immunization-classification-model") model = AutoModelForSequenceClassification.from_pretrained("peterkros/immunization-classification-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5603682c389d691da75084c3dfe09c090ee6076e18fd823c81bab2a1657f6e9d
- Size of remote file:
- 268 MB
- SHA256:
- 46dccff27403858c633a80ed8d5b34f7f5cf655c096b2caa591de503317fa245
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