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issaennab
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imdb-sentiment-test

Text Classification
Transformers
Safetensors
bert
sentiment-analysis
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xet
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Use from the
Transformers library
# Gated model: Login with a HF token with gated access permission
hf auth login
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="issaennab/imdb-sentiment-test")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("issaennab/imdb-sentiment-test")
model = AutoModelForSequenceClassification.from_pretrained("issaennab/imdb-sentiment-test")
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IMDb Sentiment Test Model

This is a sentiment classification model trained on IMDb data.
It predicts whether a given movie review is positive or negative.

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Safetensors
Model size
0.1B params
Tensor type
F32
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