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:
- 29af4f4debf8a38f6688a5895518e2721c7bc01108cfb35456d096574b2c8895
- Size of remote file:
- 268 MB
- SHA256:
- f53105a6745059a71c42c78d34aebba2a934c620e96dc8121b04bddc60d40ac2
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