stanfordnlp/imdb
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How to use amosc00/NLP_sentiment with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="amosc00/NLP_sentiment") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("amosc00/NLP_sentiment")
model = AutoModelForSequenceClassification.from_pretrained("amosc00/NLP_sentiment", device_map="auto")This model is a fine-tuned version of Tianyi98/opt-350m-finetuned-cola on the imdb dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training: