Text Classification
Transformers
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("superlazycoder/autotrain-dating-sentiment-classification")
model = AutoModelForSequenceClassification.from_pretrained("superlazycoder/autotrain-dating-sentiment-classification")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="superlazycoder/autotrain-dating-sentiment-classification")