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interneuronai/asiancuisinefooddelivery_onlineorderclassification_bart
asiancuisinefooddelivery_onlineorderclassification_bart is a text classification model from interneuronai. Use it when you need a label for a piece of text. It is set up for transformers.
Description: Categorize online orders based on dish types, ingredients, or cooking methods to optimize food preparation processes, inventory management, and delivery logistics.
Downloads · 30 days
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1% of all-time downloads
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.safetensors2.4 GB · 100%
From the Hugging Face model README
Description: Categorize online orders based on dish types, ingredients, or cooking methods to optimize food preparation processes, inventory management, and delivery logistics.
Here is how to use this model to classify text into different categories:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model_name = "interneuronai/asiancuisinefooddelivery_onlineorderclassification_bart"
model = AutoModelForSequenceClassification.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
def classify_text(text):
inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True, max_length=512)
outputs = model(**inputs)
predictions = outputs.logits.argmax(-1)
return predictions.item()
text = "Your text here"
print("Category:", classify_text(text))