Instructions to use Mustafayaz/department-classifier-ayaz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mustafayaz/department-classifier-ayaz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mustafayaz/department-classifier-ayaz")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mustafayaz/department-classifier-ayaz") model = AutoModelForSequenceClassification.from_pretrained("Mustafayaz/department-classifier-ayaz", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload label_encoder.pkl with huggingface_hub
Browse files- label_encoder.pkl +3 -0
label_encoder.pkl
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version https://git-lfs.github.com/spec/v1
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size 558
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