Instructions to use tengelisconsulting/email_classifier_deberta3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tengelisconsulting/email_classifier_deberta3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tengelisconsulting/email_classifier_deberta3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tengelisconsulting/email_classifier_deberta3") model = AutoModelForSequenceClassification.from_pretrained("tengelisconsulting/email_classifier_deberta3") - Notebooks
- Google Colab
- Kaggle
v3
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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"DebertaV2ForSequenceClassification"
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"_name_or_path": "tengelisconsulting/email_classifier_deberta3",
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model.safetensors
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