Instructions to use joeldenny/priority-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joeldenny/priority-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joeldenny/priority-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joeldenny/priority-model") model = AutoModelForSequenceClassification.from_pretrained("joeldenny/priority-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5c82903e37721b338376e6770158b85bc7f87afaacf859cb3700b280fad7234
- Size of remote file:
- 438 MB
- SHA256:
- 0669bfd85b14c0806df43324944e8060e74f4094c4c8b5029b1380076fd7a5c9
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