Text Classification
Transformers
Safetensors
English
distilbert
mail
email
multi-class text classification
intent-identification
text-embeddings-inference
Instructions to use aadilsayad/email-intent-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aadilsayad/email-intent-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aadilsayad/email-intent-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aadilsayad/email-intent-classifier") model = AutoModelForSequenceClassification.from_pretrained("aadilsayad/email-intent-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- email
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- multi-class text classification
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- intent-identification
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