| #import gradio as gr | |
| #def greet(name): | |
| # return "Hello " + name + "!!" | |
| #gr.load("models/fathyshalaby/emailclassifier").launch() | |
| # Use a pipeline as a high-level helper | |
| from transformers import pipeline | |
| pipe = pipeline("text-classification", model="fathyshalaby/emailclassifier") | |
| # Load model directly | |
| from transformers import AutoTokenizer, AutoModelForSequenceClassification | |
| tokenizer = AutoTokenizer.from_pretrained("fathyshalaby/emailclassifier") | |
| model = AutoModelForSequenceClassification.from_pretrained("fathyshalaby/emailclassifier") | |
| #iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| #iface.launch() |