Text Classification
Transformers
Safetensors
English
distilbert
it-support
ticket-classification
Eval Results (legacy)
Instructions to use Vikaash17/ticket-classification-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vikaash17/ticket-classification-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Vikaash17/ticket-classification-distilbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Vikaash17/ticket-classification-distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ticket_model_final/tokenizer.json from Vikaash17/ticket-classification-distilbert: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/Vikaash17/ticket-classification-distilbert/resolve/main/ticket_model_final/tokenizer.json
- Command line
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hf download hf://Vikaash17/ticket-classification-distilbert/ticket_model_final/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Vikaash17/ticket-classification-distilbert/resolve/main/ticket_model_final/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.