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
File size: 129 Bytes
dbcf233 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:528c90599eb6fbc21e2245f77bcca1b5f980ff67edee29165dc9503396d36aa9
size 3579
|