Text Classification
Transformers
TensorBoard
Safetensors
gpt2
Generated from Trainer
trl
reward-trainer
Instructions to use nteku1/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nteku1/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nteku1/test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nteku1/test") model = AutoModelForSequenceClassification.from_pretrained("nteku1/test") - Notebooks
- Google Colab
- Kaggle
Ctrl+K