
How to use this classifier:

```
from transformers import pipeline

pipe = pipeline("text-classification", model="Peterard/distilbert_feature_classifier")

pipe("Please add a like button!")
# [{'label': 'feature_request', 'score': 0.8930749893188477}]

pipe("The app crashed when I opened it this morning. Can you fix this please?")
#[{'label': 'no_feature_request', 'score': 0.9971746206283569}]
```

N.B. The label will change depending on which is the likelier class
{"language": ["en"], "tags": ["text-classification"], "widget": [{"text": "Please add a like button!", "example_title": "Likely feature request"}, {"text": "The app crashed when I opened it this morning. Can you fix this please?", "example_title": "Unlikely feature request"}]}
transformers pytorch distilbert text-classification en autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #distilbert #text-classification #en #autotrain_compatible #endpoints_compatible #region-us 


How to use this classifier:



N.B. The label will change depending on which is the likelier class
TAGS
#transformers #pytorch #distilbert #text-classification #en #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #distilbert #text-classification #en #autotrain_compatible #endpoints_compatible #region-us 
