
How to use
```
classifier = pipeline("zero-shot-classification",
model='Mel-Iza0/zero-shot', tokenizer='Mel-Iza0/zero-shot')
#sorry for below lines
classes = []
for i in item.classes:
classes.extend(item.classes[i])
a = classifier(item.text,
classes,
hypothesis=hypothesis_template)['labels'][-1]
print('------------------------------------------')
print(a)
```
{"language": ["pt"], "tags": ["deberta-v3", "zero-shot-classification", "zero-shot"]}
transformers pytorch deberta-v2 text-classification deberta-v3 zero-shot-classification zero-shot pt autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #deberta-v2 #text-classification #deberta-v3 #zero-shot-classification #zero-shot #pt #autotrain_compatible #endpoints_compatible #region-us 


How to use

TAGS
#transformers #pytorch #deberta-v2 #text-classification #deberta-v3 #zero-shot-classification #zero-shot #pt #autotrain_compatible #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #deberta-v2 #text-classification #deberta-v3 #zero-shot-classification #zero-shot #pt #autotrain_compatible #endpoints_compatible #region-us 
