Instructions to use keonju/classificationmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keonju/classificationmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="keonju/classificationmodel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("keonju/classificationmodel") model = AutoModelForSequenceClassification.from_pretrained("keonju/classificationmodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
65bdf8a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:4266b123ac690a68b559e877e605130a568527da55ac1d84668a3cbda12e361a
size 3899
|