| language: en | |
| license: mit | |
| tags: | |
| - sentiment-analysis | |
| widget: | |
| - text: "I am disappointed in the terrible quality of my dress" | |
| ### Description | |
| A Sentiment Analysis model trained on customer feedback data using DistilBert. | |
| Possible sentiments are: | |
| * negative | |
| * neutral | |
| * positive | |
| ### Usage | |
| ``` | |
| from transformers import AutoTokenizer, AutoModelForSequenceClassification | |
| tokenizer = AutoTokenizer.from_pretrained("CouchCat/ma_sa_v7_distil") | |
| model = AutoModelForSequenceClassification.from_pretrained("CouchCat/ma_sa_v7_distil") | |
| ``` |