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