Instructions to use Torchborg/luke-base-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Torchborg/luke-base-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Torchborg/luke-base-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Torchborg/luke-base-classifier") model = AutoModelForSequenceClassification.from_pretrained("Torchborg/luke-base-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
b39da00 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:276605120bd0c70f2a2def63fdc359695f9ae5712eb3df57da017a96d60d5710
size 3579
|