How to use SeppeV/debertav3large_ft_pref_1000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SeppeV/debertav3large_ft_pref_1000")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SeppeV/debertav3large_ft_pref_1000") model = AutoModelForSequenceClassification.from_pretrained("SeppeV/debertav3large_ft_pref_1000", device_map="auto")
https://huggingface.co/SeppeV/debertav3large_ft_pref_1000/resolve/main/tokenizer.json
hf download hf://SeppeV/debertav3large_ft_pref_1000/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/SeppeV/debertav3large_ft_pref_1000/resolve/main/tokenizer.json
