# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
The model has been fine-tuned for a multilingual classification text task: it recognizes whether a real-estate advertisement is an agency advertisement (label = 1) or a private advertisement (label = 0).


- **Developed by:** [nicotaroni]
- **Model type:** [text-classification]
- **Language(s) (NLP):** [Multilingual]
- **Finetuned from model [optional]:** [distilbert-multilingual-cased]


## How to Get Started with the Model

Use the code below to get started with the model:

```python
from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline

tokenizer = AutoTokenizer.from_pretrained("nicotaroni/distilbert-multilingual-cased_fine_tuned_", max_length=512,truncation=True)
model = AutoModelForSequenceClassification.from_pretrained("nicotaroni/distilbert-multilingual-cased_fine_tuned_")
classifier = pipeline("text-classification", model=model, tokenizer=tokenizer, truncation = True)


text = " real estate advertisement "
outputs = classifier(text)
print(outputs)
```
{"library_name": "transformers", "metrics": ["accuracy"], "pipeline_tag": "text-classification"}
transformers pytorch tensorboard distilbert text-classification autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #autotrain_compatible #endpoints_compatible #region-us 

# Model Card for Model ID


The model has been fine-tuned for a multilingual classification text task: it recognizes whether a real-estate advertisement is an agency advertisement (label = 1) or a private advertisement (label = 0).


- Developed by: [nicotaroni]
- Model type: [text-classification]
- Language(s) (NLP): [Multilingual]
- Finetuned from model [optional]: [distilbert-multilingual-cased]


## How to Get Started with the Model

Use the code below to get started with the model:


# Model Card for Model ID


The model has been fine-tuned for a multilingual classification text task: it recognizes whether a real-estate advertisement is an agency advertisement (label = 1) or a private advertisement (label = 0).


- Developed by: [nicotaroni]
- Model type: [text-classification]
- Language(s) (NLP): [Multilingual]
- Finetuned from model [optional]: [distilbert-multilingual-cased] ## How to Get Started with the Model

Use the code below to get started with the model:
TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #autotrain_compatible #endpoints_compatible #region-us 
 # Model Card for Model ID


The model has been fine-tuned for a multilingual classification text task: it recognizes whether a real-estate advertisement is an agency advertisement (label = 1) or a private advertisement (label = 0).


- Developed by: [nicotaroni]
- Model type: [text-classification]
- Language(s) (NLP): [Multilingual]
- Finetuned from model [optional]: [distilbert-multilingual-cased] ## How to Get Started with the Model

Use the code below to get started with the model:
TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #autotrain_compatible #endpoints_compatible #region-us 
# Model Card for Model ID


The model has been fine-tuned for a multilingual classification text task: it recognizes whether a real-estate advertisement is an agency advertisement (label = 1) or a private advertisement (label = 0).


- Developed by: [nicotaroni]
- Model type: [text-classification]
- Language(s) (NLP): [Multilingual]
- Finetuned from model [optional]: [distilbert-multilingual-cased]## How to Get Started with the Model

Use the code below to get started with the model: