Instructions to use davanstrien/dataset-rows-task-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/dataset-rows-task-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="davanstrien/dataset-rows-task-classifier", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("davanstrien/dataset-rows-task-classifier", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("davanstrien/dataset-rows-task-classifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e76a93f39a57199592777b7dd10d24018a7e68a1f0890a7649b088f72d5891b
- Size of remote file:
- 1.42 GB
- SHA256:
- 3bf5c212f49c333d3e0e522e4cd61672774559c8292146670d7fbc2269f214a0
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