
# industry-classification

## Model description

DistilBERT Model to classify a business description into one of **62 industry tags**. 
Trained on 7000 samples of Business Descriptions and associated labels of companies in India.

## How to use

PyTorch and TF models available

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

tokenizer = AutoTokenizer.from_pretrained("sampathkethineedi/industry-classification")  
model = AutoModelForSequenceClassification.from_pretrained("sampathkethineedi/industry-classification")

industry_tags = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)
industry_tags("Stellar Capital Services Limited is an India-based non-banking financial company ... loan against property, management consultancy, personal loans and unsecured loans.")

'''Ouput'''
[{'label': 'Consumer Finance', 'score': 0.9841355681419373}]
```

## Limitations and bias
Training data is only for Indian companies

{"language": "en", "tags": ["distilbert", "pytorch", "tensorflow", "text-classification", "industry", "buisiness", "description", "multi-class", "classification"], "thumbnail": "https://huggingface.co/sampathkethineedi", "liscence": "mit", "inference": false}
transformers pytorch tf distilbert text-classification tensorflow industry buisiness description multi-class classification en autotrain_compatible has_space region:us
TAGS
#transformers #pytorch #tf #distilbert #text-classification #tensorflow #industry #buisiness #description #multi-class #classification #en #autotrain_compatible #has_space #region-us 


# industry-classification

## Model description

DistilBERT Model to classify a business description into one of 62 industry tags. 
Trained on 7000 samples of Business Descriptions and associated labels of companies in India.

## How to use

PyTorch and TF models available



## Limitations and bias
Training data is only for Indian companies

# industry-classification ## Model description

DistilBERT Model to classify a business description into one of 62 industry tags. 
Trained on 7000 samples of Business Descriptions and associated labels of companies in India. ## How to use

PyTorch and TF models available ## Limitations and bias
Training data is only for Indian companies
TAGS
#transformers #pytorch #tf #distilbert #text-classification #tensorflow #industry #buisiness #description #multi-class #classification #en #autotrain_compatible #has_space #region-us 
 # industry-classification ## Model description

DistilBERT Model to classify a business description into one of 62 industry tags. 
Trained on 7000 samples of Business Descriptions and associated labels of companies in India. ## How to use

PyTorch and TF models available ## Limitations and bias
Training data is only for Indian companies
passage: TAGS
#transformers #pytorch #tf #distilbert #text-classification #tensorflow #industry #buisiness #description #multi-class #classification #en #autotrain_compatible #has_space #region-us 
# industry-classification## Model description

DistilBERT Model to classify a business description into one of 62 industry tags. 
Trained on 7000 samples of Business Descriptions and associated labels of companies in India.## How to use

PyTorch and TF models available## Limitations and bias
Training data is only for Indian companies