How to use Jeevesh8/roberta_base_qqp_ft_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/roberta_base_qqp_ft_2")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/roberta_base_qqp_ft_2") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/roberta_base_qqp_ft_2", device_map="auto")
https://huggingface.co/Jeevesh8/roberta_base_qqp_ft_2/resolve/main/tokenizer.json
hf download hf://Jeevesh8/roberta_base_qqp_ft_2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Jeevesh8/roberta_base_qqp_ft_2/resolve/main/tokenizer.json
