How to use k4black/roberta-base-e-snli-classification-nli-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="k4black/roberta-base-e-snli-classification-nli-base")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("k4black/roberta-base-e-snli-classification-nli-base") model = AutoModelForSequenceClassification.from_pretrained("k4black/roberta-base-e-snli-classification-nli-base", device_map="auto")
https://huggingface.co/k4black/roberta-base-e-snli-classification-nli-base/resolve/main/tokenizer.json
hf download hf://k4black/roberta-base-e-snli-classification-nli-base/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/k4black/roberta-base-e-snli-classification-nli-base/resolve/main/tokenizer.json
