Text Classification
Transformers
Safetensors
Portuguese
bert
email
finance
text-embeddings-inference
Instructions to use lucsaa/classificador-de-emails with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lucsaa/classificador-de-emails with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lucsaa/classificador-de-emails")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lucsaa/classificador-de-emails") model = AutoModelForSequenceClassification.from_pretrained("lucsaa/classificador-de-emails") - Notebooks
- Google Colab
- Kaggle
This model classifies e-mails written in Portuguese and received by a finance company, categorizing them as productive or non-productive.
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