Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use pimcore/car-class-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pimcore/car-class-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pimcore/car-class-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pimcore/car-class-classification") model = AutoModelForSequenceClassification.from_pretrained("pimcore/car-class-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62c43470ddeee1f0157c06424e314f2d44b8b6e8451617a41613f2a0d0ec9a8f
- Size of remote file:
- 5.24 kB
- SHA256:
- 4c8fb8ef639763060258ca545c2ec22f22b86850c0b6b94bab93f5d9aa6cdde4
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