Text Classification
Transformers
Safetensors
English
distilbert
intent
classifier
ticket
task
intents
text-embeddings-inference
Instructions to use Mukesh001/ticket-intent-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mukesh001/ticket-intent-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mukesh001/ticket-intent-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mukesh001/ticket-intent-classifier") model = AutoModelForSequenceClassification.from_pretrained("Mukesh001/ticket-intent-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a189654e49ec36839b3a05edbb005e070dde590d5cab20cf739e08647c4c30aa
- Size of remote file:
- 5.2 kB
- SHA256:
- 0d3c99dd0d7a40c6d431d4d1b0750417500f36b7e806bff2fdc55ad26db5ce48
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