Instructions to use davanstrien/dataset-rows16-task-classifier-4096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/dataset-rows16-task-classifier-4096 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="davanstrien/dataset-rows16-task-classifier-4096", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("davanstrien/dataset-rows16-task-classifier-4096", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("davanstrien/dataset-rows16-task-classifier-4096", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 923ed86a9ed9c208c9d9110408ac0c11a15763b3816db08411675ab30acc06d2
- Size of remote file:
- 1.42 GB
- SHA256:
- 9c1b7b6a37d7d583f81e1a16032695e033f19e2daef72bc98559ba64b21953d0
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