Instructions to use Muhammad2003/router-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Muhammad2003/router-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Muhammad2003/router-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Muhammad2003/router-classifier") model = AutoModelForSequenceClassification.from_pretrained("Muhammad2003/router-classifier") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
f7ee9d9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1be3dc4fb9978bdb62234e6076e5625f1b5b00a304c0eff0a84b0cf2b978edd7
size 4138105264
|