# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("nadim365/testV1")
model = AutoModelForSequenceClassification.from_pretrained("nadim365/testV1")Quick Links
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("nadim365/testV1")
model = AutoModelForSequenceClassification.from_pretrained("nadim365/testV1")
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nadim365/testV1")