Text Classification
Transformers
PyTorch
Safetensors
English
deberta-v2
Trained with AutoTrain
text-embeddings-inference
Instructions to use Showroom/accessories_subcategory_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Showroom/accessories_subcategory_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Showroom/accessories_subcategory_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Showroom/accessories_subcategory_classifier") model = AutoModelForSequenceClassification.from_pretrained("Showroom/accessories_subcategory_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
44af34b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:af0a753804a7d156814eae145400661ab0ecdc0fb8f4673812bb351d0bb279c7
size 8656816
|