Lailson
/

modernbert-transfer-classifier

@@ -1,199 +1,80 @@
 ---
 library_name: transformers
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 ---
-# Model Card for Model ID
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-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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 ---
 library_name: transformers
+tags: [text-classification, ModernBERT, customer-support, Portuguese]
 ---
+# Model Card for ModernBERT Domain Classifier
 ## Model Details
 ### Model Description
+Este modelo é baseado no `ModernBERT-base` e foi ajustado (fine-tuned) para realizar a classificação de textos em dois rótulos: "Transferir" e "Não transferir". Ele foi projetado para auxiliar sistemas de atendimento automatizado, ajudando a decidir se uma interação precisa ser transferida para um atendente humano.
+- **Developed by:** Lailson Henrique
+- **Funded by [optional]:**
+- **Shared by [optional]:** Lailson Henrique
+- **Model type:** Modelo de classificação de texto baseado em Transformers.
+- **Language(s) (NLP):** Português.
+- **License:** Apache 2.0
+- **Finetuned from model [optional]:** `answerdotai/ModernBERT-base`
 ### Model Sources [optional]
+- **Repository:**
+- **Paper [optional]:**
+- **Demo [optional]:**
+---
 ## Uses
 ### Direct Use
+Este modelo pode ser usado diretamente para classificar interações entre clientes e sistemas automatizados em dois rótulos:
+- **Transferir**: Quando a interação deve ser encaminhada para um atendente humano.
+- **Não transferir**: Quando o sistema automatizado pode lidar com a interação.
 ### Downstream Use [optional]
+Pode ser integrado em sistemas de call centers ou atendimento por chat para otimizar a transferência para atendentes humanos.
 ### Out-of-Scope Use
+- Não recomendado para uso fora do idioma português.
+- Não adequado para sistemas críticos ou decisões sensíveis sem supervisão humana.
+---
 ## Bias, Risks, and Limitations
+- O modelo pode apresentar vieses baseados nos dados usados para treinamento.
+- Não é garantido que o modelo funcione corretamente em textos ambíguos ou fora do domínio.
 ### Recommendations
+- Realize testes rigorosos antes da implantação em produção.
+- Supervisione manualmente interações críticas ou sensíveis.
+---
 ## How to Get Started with the Model
+Use o código abaixo para começar:
+```python
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+# Carregar o modelo
+model = AutoModelForSequenceClassification.from_pretrained("seu-usuario/modernbert-domain-classifier")
+tokenizer = AutoTokenizer.from_pretrained("seu-usuario/modernbert-domain-classifier")
+# Fazer a predição
+inputs = tokenizer("Preciso falar com um humano", return_tensors="pt")
+outputs = model(**inputs)
+logits = outputs.logits
+predicted_class = logits.argmax().item()
+# Mapear para os rótulos
+label_map = {0: "Não transferir", 1: "Transferir"}
+print(f"Predição: {label_map[predicted_class]}")