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:
- 382743473191d530401fb5968e9050cdbb43d67008c07d4fbdad528c479f0ec5
- Size of remote file:
- 3.58 kB
- SHA256:
- 528c90599eb6fbc21e2245f77bcca1b5f980ff67edee29165dc9503396d36aa9
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