Instructions to use davanstrien/dataset-card-task-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/dataset-card-task-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="davanstrien/dataset-card-task-classifier", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("davanstrien/dataset-card-task-classifier", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("davanstrien/dataset-card-task-classifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add operating-point guidance with measured confidence bands
Verified signature13c7115 -
Upload README.md with huggingface_hub
Verified signature625b915 -
Upload folder using huggingface_hub
Verified signature6058a12 -
Upload README.md with huggingface_hub
Verified signature10e27bc -
Upload folder using huggingface_hub
Verified signatured908f50 -
initial commit
Verified signature5ef1de7