Zero-Shot Classification
Transformers
PyTorch
Portuguese
deberta-v2
text-classification
deberta-v3
zero-shot
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Mel-Iza0/zero-shot")
model = AutoModelForSequenceClassification.from_pretrained("Mel-Iza0/zero-shot")Quick Links
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)
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Mel-Iza0/zero-shot")