Commit History
-
Update README.md
Verified signature3a11f9f -
update python example with inference script
6fa97eb -
Update README.md
Verified signature8a459b2 -
Update README.md
Verified signaturef94621d -
Update README.md
Verified signature# Model Name: DavinciTech/BERT_Categorizer ## Model Description This model is designed to categorize IT support tickets into ITIL-standard categories to streamline ticket routing and resolution in the IT support process. It's based on BERT, a transformer-based model that has been widely successful for a variety of NLP tasks. This model takes the text of an it support ticket as input in the format `"Title: <title text> Description: <body text>"`, and returns values for ITIL Impact, Urgency, and Type. ### How to Use The DavinciTech/BERT_Categorizer can be used directly after installation via the Hugging Face `transformers` library: ```python from transformers import AutoModelForSequenceClassification, AutoTokenizer model_name = "DavinciTech/BERT_Categorizer" model = AutoModelForSequenceClassification.from_pretrained(model_name) tokenizer = AutoTokenizer.from_pretrained(model_name) ``` # Example Usage ```python inputs = tokenizer("Example of a support ticket text", return_tensors="…8e50226 -
Create README.md
Verified signature1650d79
