stanfordnlp/imdb
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How to use yukta10/finetuning-sentiment-model-3000-samples with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="yukta10/finetuning-sentiment-model-3000-samples") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("yukta10/finetuning-sentiment-model-3000-samples")
model = AutoModelForSequenceClassification.from_pretrained("yukta10/finetuning-sentiment-model-3000-samples", device_map="auto")This model is a fine-tuned version of federicopascual/finetuning-sentiment-model-3000-samples on the imdb dataset.
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The following hyperparameters were used during training: