cornell-movie-review-data/rotten_tomatoes
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How to use reyj1999/test_model with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="reyj1999/test_model") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("reyj1999/test_model")
model = AutoModelForSequenceClassification.from_pretrained("reyj1999/test_model", device_map="auto")This model is a fine-tuned version of distilbert-base-uncased on the rotten_tomatoes dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Base model
distilbert/distilbert-base-uncased