Instructions to use keshavkmr076/email-intent-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keshavkmr076/email-intent-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="keshavkmr076/email-intent-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("keshavkmr076/email-intent-classification") model = AutoModelForSequenceClassification.from_pretrained("keshavkmr076/email-intent-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (5b91412c233f388c0a439c73e7eaf0104a7b5f7a) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>44e4c38
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emai intent calssififcation model artefacts
5481532 -
initial commit
39b130a