Instructions to use lysandre/dum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lysandre/dum with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lysandre/dum")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lysandre/dum") model = AutoModelForSequenceClassification.from_pretrained("lysandre/dum") - Notebooks
- Google Colab
- Kaggle
Commit ·
7ca0514
1
Parent(s): 55e1d8a
Fix sst2 dataset name (#1)
Browse files- Fix sst2 dataset name (b69f6aa1ec008505d4ff0ae5991aff230f940422)
Co-authored-by: Albert Villanova <albertvillanova@users.noreply.huggingface.co>