Instructions to use joeldenny/prioritymodelfinal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joeldenny/prioritymodelfinal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joeldenny/prioritymodelfinal")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joeldenny/prioritymodelfinal") model = AutoModelForSequenceClassification.from_pretrained("joeldenny/prioritymodelfinal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 225f72009330efb79d0937e18866daed6cc34dea3087dab5598719babbff858c
- Size of remote file:
- 438 MB
- SHA256:
- 783bea2957707658291824df60a4a18afcaba207a715705f4ca708b240a460e1
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