readability-arabertv02-word-CE

17

1

license:mit

by

CAMeL-Lab

Other

OTHER

2502.13520B params

New

17 downloads

Early-stage

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Edge AI:

Mobile

Laptop

Server

5593GB+ RAM

Mobile

Laptop

Server

Quick Summary

Model description AraBERTv02+Word+CE is a readability assessment model that was built by fine-tuning the AraBERTv02 model with cross-entropy loss (CE).

Device Compatibility

Mobile

4-6GB RAM

Laptop

16GB RAM

Server

GPU

Minimum Recommended

2331GB+ RAM

Code Examples

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

Intended usespythontransformers

>>> from transformers import pipeline
>>> readability = pipeline("text-classification", model="CAMeL-Lab/readability-arabertv02-word-CE")
>>> text = 'و قال له انه يحب اكل الطعام بكثره'
>>> readability_level = int(readability(text)[0]['label'][6:])+1
>>> print("readability level: {}".format(readability_level))
readability level: 10

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