Text Classification
Transformers
Safetensors
PyTorch
English
ticket_gpt
feature-extraction
gpt2
custom-architecture
tiktoken
custom_code
Instructions to use FarhanAK128/TicketClassificationGPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FarhanAK128/TicketClassificationGPT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FarhanAK128/TicketClassificationGPT", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FarhanAK128/TicketClassificationGPT", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle