Instructions to use davanstrien/dataset-rows-task-classifier-2048 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/dataset-rows-task-classifier-2048 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="davanstrien/dataset-rows-task-classifier-2048", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("davanstrien/dataset-rows-task-classifier-2048", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("davanstrien/dataset-rows-task-classifier-2048", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04920884af2f160b22e4bf7225e2c2d8d2c34b572652e2903bc5ec8822ef798c
- Size of remote file:
- 1.42 GB
- SHA256:
- d6a25865b794cf105a84d6547f2c80f09f75dc065ceb27918ed798f90b4bd5d3
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