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:
- 54880b0521807687fed2f0f739f8d4d31361655e0cb2a27bed9233104268b406
- Size of remote file:
- 3.58 kB
- SHA256:
- e1bea22a2109ba18347cc29694da17f9e0e0644a649b9a3d1c168b8f92977f19
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