Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use cvapict/distilbert-base-multilingual-cased-aoe-hyper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cvapict/distilbert-base-multilingual-cased-aoe-hyper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cvapict/distilbert-base-multilingual-cased-aoe-hyper")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cvapict/distilbert-base-multilingual-cased-aoe-hyper") model = AutoModelForSequenceClassification.from_pretrained("cvapict/distilbert-base-multilingual-cased-aoe-hyper") - Notebooks
- Google Colab
- Kaggle
Ctrl+K