Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
roberta
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("smeintadmin/image_intents")
model = AutoModelForSequenceClassification.from_pretrained("smeintadmin/image_intents", device_map="auto")Quick Links
Image data intents model to help classify text into either an image intent, or not an image intent. An image intent is classified as text that is asking for an image or an image to be generated.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="smeintadmin/image_intents")