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